{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "Chapter 11\n",
    "# 用Matplotlib绘制散点图\n",
    "Book_1《编程不难》 | 鸢尾花书：从加减乘除到机器学习"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "outputs": [],
   "source": [
    "# 导入包\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.datasets import load_iris\n",
    "import numpy as np"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2024-07-10T13:58:37.865081Z",
     "end_time": "2024-07-10T13:58:37.866066Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "outputs": [],
   "source": [
    "# 加载鸢尾花数据集\n",
    "iris = load_iris()\n",
    "\n",
    "# 提取花萼长度和花萼宽度作为变量\n",
    "sepal_length = iris.data[:, 0]\n",
    "sepal_width = iris.data[:, 1]\n",
    "target = iris.target"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2024-07-10T13:58:37.879985Z",
     "end_time": "2024-07-10T13:58:37.879985Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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//XTQo5u6zPPPP88dd9zBnj173NIHBKG+I/fABKEOUVxc7Pa8pKSE1157jU6dOonzEhoccg9MEOoQ48ePJzs7mz59+pCXl8f777/Pn3/+6TE4QRDqO+LABKEOcdppp/Hmm28yY8YM7HY73bt3Z+bMmR7D2AWhvhPVe2APP/wwjzzyiNuyLl268Oeff0bJIkEQBKGuEPURWI8ePfjpp59czy2WqJskCIIg1AGi7i0sFguZmZnRNkMQBEGoY0TdgW3ZsoWWLVsSHx/P0KFDmTp1arXimU6sVqtbJr/D4eDYsWM0bdpUysEIgiDUQXRd5/jx47Rs2TKguquVieo9sNmzZ1NQUECXLl3Yv38/jzzyCHv37mXDhg00atSo2vqe7pkJgiAIdZ/du3cH1PmiMrUqkTk3N5c2bdrwn//8h2uuuaba61VHYHl5eWRnZ7N7925SUlKMNLXBcvz4cQCPFxhC+BG9jUX0Np59+/bRrVs3cnNzSU1NDeq9UZ9CrExaWhqdO3f2WF0bVCuHuLi4astTUlLEgRmEU39P34MQfkRvYxG9jcc5KKnJbaBaVYmjoKCAbdu20aJFi2ibInjBZrNVq/4uRA7R21hEb+MJRe+oOrC7776b+fPns2PHDpYsWcL555+P2Wzm0ksvjaZZgg9MJlPQN1qFmiN6G4vobTyh6B3VKcQ9e/Zw6aWXcvToUdLT0xk2bBjLli0jPT09mmYJgiAIdYCoOrCZM2dGc/dCDbDb7dE2oUEhehuL6G08oWheq4I4hNpPTExMtE1oUIjexiJ6G08omstkrxAUVVMZhMgiehuL6G08oegtIzAhKJzt6wVjEL2NRfQ2nlA0FwcmBEVJSQkAsbGxUbakYSB6G4vobTxOzWuCODAhKOQK1VhEb2MRvY1HRmCCYcgVqrGI3sYiehuPjMAEw5ASO8YiehuL6G08oWguUYhCUJSVlVFWVhZtMxoMorexiN7GE4reMgITgsJsNkfbhAaF6G0sorfxhKK5jMAEQRCEOomMwISgcDgc0TahQSF6G4vobTyhaC4OTAgKi0UOGSMRvY1F9DaeUDSXKUQhKEpLSyktLY22GQ0G0dtYRG/jCUVvudwQgkLCjI1F9DYW0dt4QtFcHJgQFJLoaSyit7GI3sYjicyCYUipHWMRvY1F9DYeKSUlGIZcoRqL6G0sorfxyAhMMAy5QjUW0dtYRG/jCUVziUIUgkKitIxF9DYW0dt4JApRMAzJkzEW0dtYRG/jCUVz+baEoJBKBcYiehuL6G08oWguU4iCIAhCnURGYEJQmExyzWMkorexiN7GE4rm4sCEoLDZbNE2oUEhehuL6G08oWguDkwICsmPMRbR21hEb+MJRXNxYEJQSKKnsYjexiJ6G48kMguGIYmexiJ6G4vobTxSSkowDLlCNRbR21hEb+OREZhgGHKFaiyit7GI3sYjIzDBMKxWKyBXqEYhehuL6G08Ts1rgjgwIShiYmKibUKDQvQ2FtHbeELRXByYEBRSasdYRG9jEb2NR0pJCYIgCA0OGYEJQSGldoxF9DYW0dt4pJSUYBhSasdYRG9jEb2NR0pJCYYh0VnGInobi+htPFJKSjAMSfQ0FtHbWERv45FEZsEwJNHTWERvYxG9jUcSmQXDkCtUYxG9jUX0Nh4ZgQmGIVeoxiJ6G4vobTwyAhMMQ0rtGIvobSyit/FIKSnBMOSHbSyit7GI3sYTiuaStScEhc1mk1wZAxG9jUX0Nh7JAxMMoyFXKrCXwp5lUFYE6d0hNTvy+2zIekcD0dt4pBKHIEQQXYdlz8HCf0Px0fKFGnQ8Hc56GdLaRtM6QWi4yOWGEBQOh6PBVeyeez/8cFcl5wWgw7Yf4M0hkL83cvtuiHpHE9HbeKQavWAYFosFi6XhDNxztsPiJz2/ptuh6Cgsmhq5/Tc0vaON6G08oegtDkwIitLSUkpLS6NthmGsfQc0H78S3QZrpoG9LDL7b2h6RxvR23hC0VsuNYSgiIuLi7YJhpK3GzQNdB/rlBVBSS4kpYd//w1N72gjehtPKJqLAxOCoqGV2gnEKZliIC4lMvtvaHpHG9HbeEIpJSVTiEJQxMfHN6hyO70mgMNHmopmgZ4XgyVCF+4NTe9oI3obTyh6iwMTgqKkpCSkK6a6RvNe0PsKQKv+mmZWjmv4A5Hbf0PTO9qI3sYjxXwFw2iIV6fnvAXxabDyFffRWNNOcP770Kxr5PbdEPWOJqK38UgxX8EwnBFDDekegTkGzngRRjwIW79XQRsZPSHrRBXgEUkaot7RRPQ2HolCFAzDbDZH24SokZQOJ1xh7D4bst7RQPQ2nlA0l3tggiAIQp1ERmBCUEiZHWMRvY1F9DaeUDQXByYEhZTZMRbR21hEb+ORUlKCYUipHWMRvY1F9DYeCeIQDENK7RiL6G0sorfxSCkpwTCk1I6xiN7GInobjyQyC4YhiZ7GInobi+htPJLILBhGXbtC3bUYfnsVDqyF2EbQ/W/Q9ypVWaMuUNf0ruuI3sYjIzDBMOrKFaquw4/3wNJnwWSpKAG1Z6lqUDnxZ0jvHl0bA6Gu6F1fEL2NR4r5CoZRV6K01r6rnBdUqSavQ9ERmHGG7yrztYW6ond9QfQ2nlD0FgcmBEVdaLmu67DkKTxWkAfQ7ZC3CzZ9ZahZNaIu6F2fEL2NR/LABMNwOBy1vlpBSQ4c/h2fbZRNMbD9Z8NMqjF1Qe/6hOhtPKHoLQ5MqHfoAf4eAl1PEITaiTgwIShMJhMmU+0+bBKaQuP2eJ1CBHCUQdZJhplUY+qC3vUJ0dt4QtFbvikhKGw2GzZb7Y5+0DQYcidepxA1MySmq5D62k5d0Ls+IXobTyh6iwMTgiI2NrZO5MgMvBF6l/fu0iq1G9LMEJsEl30DljpQNaiu6F1fEL2NJxS9JdxGCIpQEz0ddtg2RwVQ6DpkD4Mu41SuVjjRTHDeO9BtPKz4HxxcrxxXj0uUc0tpHd79RQpJrDUW0dt4Qklk1nRd9xGrVbvJz88nNTWVvLw8UlJSom1OgyCUlutHN8MHZ8GxrSoKENS9qJTWcOk3kHlCOC2tH0iLe2MRvY3nyJEjpKen1+g8LlOIQlCUlJTU6IqpJA+mj4Kc7eq5o0w9AI7vh3dGQ8GB8NlZX6ip3kLNEL2NJxS9xYEJQREfH1+j0i9rpisHpdurv6bbwZoHK18L3b76Rk31FmqG6G08UkpKMAyr1YrVag36fRtn4TOxWHfAhg9rbld9paZ6CzVD9DaeUPSWIA4hKGJiYmr0vpI8/+tYj9do0/Wamuot1AzR23hC0VxGYEJQ2O127HYP84B+yOjpO9JQM0NGHagObzQ11VuoGaK38YSitzgwISg0TUPTfJS48MKAv/uu/q7bYcBNIRhWT6mp3kLNEL2NJxS9xYEJQVHTH3jbUdD/BudGqm5U5Wd1PTdU6+ofckI1FtHbeELRW+6BCUFR0+G+psFZr0DzE2DpM5Dzl1qe0hqG3AGDJ6vk47qO7oDdS6DgIKS0glaD1WevKTKdZSyit/GEonmtcWBPPPEEU6ZMYfLkyTz//PPRNkfwQigJnpqmqmAM+Dsc36sqcaS0qh+OC+CPz2HO7arXmJMmHeGMl6Dj6TXbpiTUGovobTyhaF4rTh0rVqzgtddeo3fv3tE2RfBDOBI9NU2NvFKz6o/z2vgxfHSBu/MCOLZNVR/ZMrtm25XEWmMRvY2nTicyFxQUMGHCBN544w0aN24cbXMEP0iiZ3UcNvj+NjznuelqpPn9bepvsIjexiJ6G0+dTmS++eabOeussxg7dmy0TRECQK5Qq7P9Zz9lsHRV/3Hvr8FvW/Q2FtHbeELRO6r3wGbOnMmqVatYsWJFQOtXzZLPz88HVAHO/Px84uPjsVqtxMbGYrPZXI3SHA4HFouF0tJS4uLiKCkpIT4+3vW3tLQUs9mMruvouo7ZbKasrMzruhaLxdUG22QyYbPZiI2NrbauJ1vsdnvA6wZid1VbIml3TEyMa/tOvUtKSoiLi6OsrAyz2Vxju73ZEi67rVar27rhtDt3fyzx2SWU5cYTk1b+N8WKrSAGU5wDHKDbTRzdayOjNLjv3vlZK+td+ZgNt95Wq5WYmBjsdrsrIi/cx2yk7A7Hb82f3nKOCP9vrU42tNy9ezeTJ09mxowZAQ8hp06dSmpqquuRlZUVYSuFqpSVlbkqdguKpIwA10sPftulpaWit4GI3sYTit5Ra6fyxRdfcP7557s8MuC66jOZTFitVrfXwPMILCsrS9qpGIhT/7i4OtAN0iDsZfCfVlB02MsKGqS1hdu2Bh+0Inobi+htPIcPHyYjI6NG5/GoTSGOGTOG9evXuy276qqr6Nq1K/fee2815wXqoJIDK7o423/L91CBOQZO+w98foWHF8tzwE77T80iLkVvYxG9jcepeU2ImgNr1KgRPXv2dFuWlJRE06ZNqy0Xag+hzFdHgpJ8yN8NKVkQH8VBeO/L1d8f7oLCQxXLG7WEM16ErufVbLu1Te/6juhtPKFoXmsSmQUhGHYsgK+vhWNbKpY17gDjXod2J0fHpt6XQ4+LK6ISU1pB29Fgqj6ZIAhCGKhVDmzevHnRNkHwgzNCKZps+Q4+OJtqeVc52+DdMXDxF9Grq2iOgY6nhW97tUHvhoTobTyhaC7jZSEoLBYLFkt0r3s+uQSfzTE/u8wwUyJObdC7ISF6G08oeosDE4Ii2mHGm76CUj+NL8uKYONHxtgTaaKtd0ND9DaeUPQWByYERbQjQXfMC2y9nfMjaoZhRFvvhobobTyh6C1jZSEonGVfolW1OzbASMNA16vtRFvvhobobTx1upivULeIdrHTgQF2bR50a2TtMIpo693QEL2Np04X8xXqFtEudpqcoULTfZF1EqS0NMaeSBNtvRsaorfxyAhMMIzacIV6xQ+qs7Mn0rvDlT8ba08kqQ16NyREb+MJRW+5ByYEhTNiqOo9Arsd5kyG1W+DrRjQILUNnPtW+BOLTRb4+xr4ay7MfwQKD0JiBoz4Z3hzsCpTcBBWvaEaV5YVQGYfGHCT+myaFpl9gne9hcjQoPXetAn+9z/44QfVvG7UKLj5Zgi20bDVCjNnwttvw+7d0KoVXHUVXHYZeHBWdbKYbzjIz88nNTVVivkaSHFxMQAJCQmuZXY7PNfSvYRSZYb/E05+1AjrIsP+VfDuWLDmgV6ec2myqEaWA2+GM16KnBPzpLcQORqs3h99BBMmqP87axNaLOrH/cYbcM01gW0nLw9OOQVWrACTCRyOir99+8LcuVClcfHBgwfJzMys0XlcphCFkJlxmnfnBbDwMcjba5w94cRmhRlngjW/wnmBcl4AK/4Ha6ZHxTRBCA9btyrnZbNVOC9Q/9d1uO46WL06sG3dcgusWqX+76yw4fy7bh1cf3347EYcmBAkDoejWumX7QHcc/rs0ggZFGH++FRNUep2LytosPRZ9TuPBJ70FiJHg9T7lVd8H8BmM7z0kv/tHDgAH36oRm2esNvh009hzx63xVJKSjCMqqV28nbhs6yTkwNrImZSRNm5QE0XekWHwxvV9GIkkNJGxtIg9f7pJ+9OB9RIbO5c/9tZutT3dkA5ysWL3RZJKSnBMKTUjrGI3sYienshgqESUkpKMIyqpXZSs3E1bfSFt7D32k6bERX3uzyiqdD9uNTI7F9KGxlLg9R77Fg1TegNiwXGjPG/nSFDfG8HVLTTSSe5LQpFb3FgQlB4SvQMJEz+gpkRMijCdLsAkpqD5u13qcPQuyMXhSiJtcbSIPW+8UbfB7DdDrfd5n87LVrAJZd4d2JmM1xwAbRu7bZYEpkFw/CU6DlhDiSke3/P8H9CaqsIGxYhLHEw4TuIawRapV+LVj5tP/Am6DMpcvuXxFpjaZB6d+wI77+vHEzl+1EWi3Jsr7+uQuAD4X//q1jX2WnZ+bdnT7WtKoSit+SBCUGRn58PUE1vux2+uR7WvVsx5ZbUHM57FzqeGtw+dB12L4Y/PoPSAmjWFU64EhKbua93bCusfQ+O74PkTDjhCmjauaafzDeuROZZUFqoEpkH3gTtxkQ2kdmb3kJkaNB6//knvPwyfP+9+hGefHJoicxvvVWRyHz11V4Tmffs2UNWVlaNzuPiwISg8Fap4PdP4PMrwVYCpvIZBIcNWg6Ay76FpIzAtl+SCzPPU+1QnNF/ukP9/6xXoe9V6vmcO2H5C2pqT9PU7023w4AbVWKxyc9UfF2hQVeGiAKit/EcOXKE9PT0Gp3HG1i8qBAqnn7gu5fAJxeXByrp7kEPB9bAjDPguhXuU3Ce0HWYdQHsWqSeV96OvRS+ugYatYS9vyrnBcppVb4CW/kqJDSt25U/KiMnVGMRvY1HohAFw/CUJ7NoKioS0cNY3mFTpZj++sn/tvetgB0/e08a1kww72FY8pSPjeiw7D9g9dO1ua7QIPOSoojobTySByYYRtVKBfZS2PKdj0oVqOm/Pz7zv+0/PvedNKzbYe8ydV/MF2VFsD2AvMu6QIOsDBFFRG/jkUocQtSwWd1rBHpC15VT8UdZIQHllAVCIPsTBKFuIw5MCAqTyYTJVHHYxCZDcgs/b9JVsq8/0nv4SRou318gBLK/ukBVvYXIInobTyh6yzclBIXNZsNWqWK1psGgW3wHaGhm6HOV/233uhRiEvA6CtPMKsow6yTvicWaGVr0V2Hu9YGqeguRRfQ2nlD0FgcmBEVsbGy1CK0hd0CrIdWdmGYGNDj7VUhu7n/bcSlw3jvKKVZ1UJoZMnqoppXnvKnW1arcLzNZ1AjtvOlBf6xaiye9hcghehtPKHqLA6uF6A7YMR/WvqsCJOwRri1aVgR/fqn2t2e557qdDjts/wXWflzClrkl2MsqXotJgCt/ghH/cs/3yh4Gl38Pfa8O3Jbuf4OJ86D9WFwjsfjGcNI/4KqFynE16wrX/6YSl83lZdRMMdBrAly/EjJ6BqtA7aVBljaKImHTe+NGVd3i44/h2LHQt1ePCUVvSWSuZWydA9/eCLnbK5YlNIGT/w0DbgjvvnQdFj2hwuBLK4Wdp3eHc96G1oPV801fw3c3Q/5uMKcobxoXF8spT1Uvo+SwQ/ExsMSr8kuhUFqgnGtCE+/RiTarSn6OT1Nln+obkpdkLCHrvW0bTJzo3jIkNhZuuAGeeUb9X3BDEpnrCdt/gQ/Oqh7VV3wMvv27CnAYdHP49vfLg7Dw8erLj2yCd0bDNUtUmaaZ51a8FpOmrpaKdsXyZXlVjMojLJMZknzURQyG2GT/QRuWuMCmJ+sqzqtTcWDGEJLe+/bBiSfC0aPuy0tLVY3AAwdg1qzI1h6rg0gx33rCD3dWVLPwxNz7VB2+cHB8vxp9eUK3q2nLn/8Jc+5wLlR/ynLjKcutqGf24z1qFCREhgZZXDaKhKT3M88o5+WpqaPDoaYTf/01NAPrIaEc30GPwLZv387ChQvZuXMnRUVFpKen07dvX4YOHSo/tBA4/If/rsWlBbDpKxWtFyobZuKzk7JuV/ffqq4Tk6K8lT1fXaEWH4Ntc6DLOaHbJFTHalV6ywjMGELSe9o03x2JLRZ45x0YPLiG1tVPnJrXhIAd2IwZM3jhhRdYuXIlzZs3p2XLliQkJHDs2DG2bdtGfHw8EyZM4N5776VNmzY1NqihUnDA/zqaKbD1At2fZvaThOzBwdkKqv+wj+8Pj01CdcRxGUuN9bbZIDfX9zp2u5pGFNwI5RgPyIH17duX2NhYJk2axKeffkpWVpbb61arlaVLlzJz5kwGDBjAyy+/zIUXXlhjoxoijVr6X0d3QEqY+mo1aum7/BPgsb6hKc6Zs1ERMREum4TqOHNkGlyX4ChRY70tFmjcGHJyvK9jNqvWIoIbEc8De+KJJ1i+fDk33XRTNecF6sseNWoUr776Kn/++Sft27evsUENlWZdoOVA3wnBcanQeVx49tfrUv/Jx13OURGJldfTHSZ0R8WCxGbQ4bTw2CRURypDGEtIel97rfduxKBGaZMm1Wzb9ZiIV+I47bTAz1BNmzalf//+NTaoIXPaf5Sz8OZYTnm6vFJFGEjKgJEPeX5NM6sw+JMfh9NfQI3EnIFT9vKH0+bnwRwTHpsEoU5z113QvLlnJ6ZpcMUVIOfGsFJj13fo0CE2bNjAunXr3B5CzckeBlf8CE27uC9PbqEqVPS/Lrz7G/6AckDxjd2XZ/ZRScMZPVRC8YTvoElH9Zopzo4pzk5Ka7hgJvSe4P7e0gLYtRgObfS+X12H/L2Qv8d/IeBwYLNC7k4oOhL5fYUbu92O3VdggBBWQtK7eXNYulR1Mq5MYiL84x/w9tuhG1gPCeX4DjoK8bfffmPixIn88ccfOHOgNU1D13U0TZMfW4i0HQU3bYT9v0HuDjVFlz3Md5uRmqJpMGQyDPg77FwA1nxo2gmaV+kgbo7FVXnDVqhuuFoS3bseFxxQnZT3Lq9YFpMIQ25XIzlQjmvlq7D0Gcj5Sy1Laa1KUQ2eHP4uyiV5MP//YPWb6rMBtB4KI/8FHU8P774ihQRxGEvIemdnww8/qITmtWshLg5GjIBGIWb112NC0TzoShwnnHACHTp04N5776V58+ZoVZLyjIxArI+VOGobW2ar5GpnMEd8tvIEJbuU3uPegM7nwIvtvLcw6XExXPAhfHeTcmDVgkM06HkxjJ/hv2tzoFjz4e2TVHpC5WAVzaQc6TlvQd8ACgxHm/x8pbcc38YgehvPnj17yMrKqtF5PGgH1qhRI1avXk3Hjh2D2lEkEAcWeZ5srEo1OXGWknLmgZlioPWJsGu+7+2c/QZ842cK9OLPoet5Nbe1Mj/dB0ue8R5paY6FO/dBYtPw7C9SSCkpYxG9jSeUUlJBX++OGTOGtWvXBvs2oQ6y/Wd35wWqlJSznBSAo8y/8wL45Z++p0E1M6x4uWZ2VsVhg99e850m4LDBuvfCs79IIsV8jUX0Np5Q9A76zsqbb77JxIkT2bBhAz179iQmxj0E7ZxzpCRDfWHHgurLKpeRCobiY76bVep234EfwVB0tLrjrYpmVtOLtR2pbmMsorfxGFpKaunSpSxevJjZs2dXe02COOoXnqbXYtLcS0kFismiRmu+iAuw27I/YhIDWEkPvLtzNJFSUsYiehtPKKWkgp5CvPXWW7n88svZv38/DofD7SHOq37R9xqqdUe25cViy3P/cSc287+tyv29PKGZoGcYajyCauPSfqz3rs2gRoPd/xae/UUSabBoLKK38Rja0PLo0aPccccdNG9ej3tYCADEJkK38e7LzIk2zIkVc4GthsDYp3xvJyYZzp0OyZmenYpmVlVGBvw9dJudjPgXKtLRg9PUzND2ZGg9JHz7ixTS4t5YRG/jiXgpqcqMHz+eX375pcY7FOoWf/sI2o6ueO4oM+EoU4dNRi+YNF+Fo4940PP741LghlWQ2AQm/gJpbdVyU4x6ADRqoV5Lzgyf3W2Gw99mlVcu0cr3Vz5h3u5kuPizutGWSUpJGYvobTyh6B30PbDOnTszZcoUFi1aRK9evaoFcdx22201NkZQfbjWzVBRdM5E5hMmqioc8WnBbevPL2HuFDi6GdChUStVfSOYzs4mkzrZfzoBtn2vlmkmaD0MLvwQLOWj/1GPQNOu8NM/oPBg+ShnFJz5CjRpp9Zp1kU5xLn3wZ6lKh+r9RAY+wRknhDcZys6At/dCpu+VJU2LHHQ+Sw443+QnKHW6f43Vadxw4cqQCQ2SY0oWw4Ibl/RYA85/MoO9nIEDWhDcwbRluYEmS6SlwdvvQXTp8OhQyrR9vrrVVkjZ8Fau131qnrlFdi0CdLSYMIE+PvfIT1M3UkFIQIEnQfWrl077xvTNP7666+QjQqU+pYHVloI758GuxeXJ9yWl1nSTJCSBVctgNTswLb1/R2w/HnPr3U8Q5WHCoT8PfDfLhVJynEtVEdN6/4kTDFw7a/K+Xx7o3K6mrkifN1ZU/Hy71U1kbXvwpdXqc/jjEg0WdT/z3gJBt0SmE3HtsHLPcDu4d6vORb+vk45y7rKMrbzA79jQiOmUB0EZUkmdHTOow+9CLCi+b59MGwY7Nihnuu6uiJxOFRPqh9/hPh4GD8evvlG1fBz3sc2maBpU5g/H7p1C/+HrKUUFqrjOykpKcqWNBz2799Py5YtjUlkrk3UNwf23a2w8hXP+Usmi6pWf80S/9vZtQimDfe9zukvwuBb/W/rxU6Qs7XiuSVVeQ1bnrp6j28Cpz2rHJMnNJOaRrzyZ3hjgO/ah9f+Cq0G+rfpuSzlWL2RlAl319EeZbvJYRoVX7LFqn6etjg136mhcTMjaUIAJ9jRo2HRIlUFvSpmM1x9tWrv8cgj5a3APazTvj38+adyaA0AZ0SctK8xjsOHD5ORkWFMIrMQGaz5qmaft+Rbh01Nu+1f7X9bP9zjf53FT/hf58gmd+cFYEktxZJa6npecgzmPYzXI0l3qJysH+72vg4oB/3rS/5t2rfSt/MCKDygCgrXRX5lO6ZKkSeWUvWozEp2+t/Qxo0wb55n5wVqpPXOO/DCC56dl3OdLVtg7tzAjK8HlJaWuqpxCMYQit5BO7ALLriAJ598stryp556SppYhsCBtWDzl5CuqdGVPw5v8L9OIF2Uf/+4+rKy3DjKct2vTvN2Aj5GVpoZDqwC3UewkcMGO+b5t2njR/7XAdg4K7D1ahs7OYajUqHIsjj1cKKjs4Oj/je0OAAPXlrquwEjqEaNiwI46OoJcXFxMvoymFD0DtqBLViwgDPPPLPa8jPOOIMFCzyUbhACItCIuIDWC1N0naeQ96qlpALbEIHZFM7PVgciDAMhpkQ9KqMF8uHCGWJZF8I1w4SUkjKeUPQO2oEVFBR4TDyLiYlxVXIWgiezbwCVIXQVAu6PFgH0zAskGKRqry9QpaSqlpNq2sV3FXndpgr++kosNlmgYwB9U0+40v86AH0mBrZebaMD6W5TiGXx6uFEA9oTQOb4qFH+10lIgIwM3+vYbNX7W9Vj4uPjpZyUwYSid9AOrFevXsyaVX1+ZubMmXTv3r3GhjR0YpNgwE3eHYFmhnZjIT0AiU971v863roxVyY1W+V6VabqCCwpE0b/n/fgDM0MSc3h1GfKP5uXi3ndAYMCCCrJ6AGN/TRCSG0DLfr531ZtZBBt3aYQq47ATGgMIICWRZ06wZlnem9xbzLBDTfA3Xd7H2FZLHDCCTDcT0RQPUJGYMZjaDHfBx98kPHjx7Nt2zZOLr8ymzt3Lh9++CEff+zhpokQMCc/Cod/hy3fVISjO8Ppm3WFC2YEtp0W/WD0Y6oCvCd6Xxl4L6yJ8+ClTipYA9yL+VoS4OpF0KQDHFwPCx+rCIsHZXt8qgqjT+8KF34MH1+oPo8r1N4C6KrjdPMqztIbVy9Uof1WDwP+2GRlU12lBamcywl8xVpAoyy+vGksynldSH9SSQhsY+++C2PGqMaKzvB5Z6j8qafC1KkQEwMbNqh1LRY14nI6tNat4csvG9QUooy+jCcUzWsURv/tt9/y73//mzVr1pCQkEDv3r156KGHGDlyZI0NqQn1LYwe1Ml987cqIvHYNkjKUNNmPS9ROVXBsGc5/HAXHFitttukE5z8b+hydnDbsZXCtzfBhg/A0rQAkwWy+ydz7tsQX0n2rbPh53/Csb/AHAOdz4YxT1QkFoNKzl75Kmz7QdnUdjQMvBGadg7SphKYez+sfQ9KjyvH1esytb/YQIr51nKOUMBv7GRPwSFAo21yJv3JJo0gP5zVCh99pBKZDx6Edu3g2mvh7LMrRme6TuGH78BjjxGz7yCOxHisl/yNlEeeRGsUxd/VvHnw4IOwezekpMCNN6pRYwRD+gsKCgBITq4DlZ7rCfv27aNVq1aSByaEH90B39+uQtxNFrA0LkbTwHoogR4Xw/nvquThde/Dl1eXj6w0ddHusEFGT5jwPaQEmHsruFNcXAxAQkKAo64asOOpe8me8rRrpKVrGmabnQMj+5L25Q/EpwZwzy2cOBxq5DhvXvXXmjZVI8bMMNYdq4QRegvuHDx4kMzMzMjlgdVhHyeEyKInKvKz1NSg7joefv8Y5twBO+bD51eqdinO6UHnNOKRP1V1EYc0KqgRuq5H9Pe3e8ZLtL33KUwOHZPdgcnuwGxTX1bGorUcvTQK/f0mTfLsvACOHoUBkasFFmm9heqEondADqxHjx7MnDnTb8LZli1buPHGG3niiQCyZIVaj60EFletNG/S1QPlrH57HeY/4j34xGGDwxth6/eRtbW+EskTqq47SH70aXQv97hMdgetZi/l6PqlEdm/R2w2+OAD3+vs3Rux5GpxYMYTit4BBXG89NJL3Hvvvdx0002ccsopDBgwgJYtWxIfH09OTg6///47ixYtYuPGjdxyyy3ceOONNTZIqD3sXgrWPPdlDqt7VJvDBjv8NCcwWVTR3c5nhdnABoDZWxRhGMj7ayONN+32uY7DbOL4Vx/TtNfQiNnhxpdfVtRj9MVLL6lpxjATSb0Fz4SieUAObMyYMaxcuZJFixYxa9YsZsyYwc6dOykuLqZZs2b07duXK6+8kgkTJtC4ceMaGyPULmzF1ZdZklVbZVtu4BEluh5AlRHBI2VlSu9IRMfZi4v8rqObNDAyrDzQXNJiDwdnGIik3oJnnJrXhKDC6IcNG8awYcNqvDOhbpHRExW/XWmEX5ZfvexLYgYUHfKxIR2a9w63dQ2DSJY1atSuK2UJscQUe781YC6zY+7dJ2I2VCOQBGyAoZEZEUoZKeMxtJSU0HBIzVatVypX0KicyKyZlWMaeqfvShwmC/SZFFlb6yuRTKyNTUpl39XjcZg9f3kOk0ZRs1Ranhtg+ZNw0K4ddOjgex2TCe6/PyK7l0Rm4zG0lJTQsDj7FUhuXuHEnKWkTBaVe3X++zDkdtW8sqoT08yABudOU405heCJdGmj5o+9SE7X7GpOzG4x4YixkDdrGuZYg6fTvv1WJVh74+WXwUM5u3AgpaSMx/BE5tpCbcsDy9sNf/2kAhtaDYTMPjXbjsMG235UVd4TmkKnM1WpKbd1HLDuPfjrR1URY+DN0KKG+/NHwQEVTv/b62BJz8cUA51HpjDiAWjcXq1js6pw+19fgrxdypl1OB2G3QdtGk4looDQ0dnJMY5SQCwWOpJBAp5P2M76opE8vq35R9n/7ENkvPw+iUfysFvM7P3bGBLv+xfNTjjJbd2j65ZQsHwhmM00HnsOKdkeMtD37YMfflDV7vv1q1nY+/btqiv0smUV7V7atYPnn4dzqoT2r14NK1YopzZ2rKogUpXdu+Gnn1SU48CB0KdPdR2w8Xv+TkqwkZHShHY0c6tLGTC6DitXKrvi4lTVkxYtgt9OA2HPnj1kZWVJInO0KC2Ar6+HDTNxu1/Uaogq/+Q8yQfCn1+q7sYFldqdxCbDqP9TIx1Ng03fwCcXVQ+yaNIJrlkGiU1C+TTV2fgRfHcLFB0Gc4q6X2LRYhnzbxh4k/u6uq66N5tjVTUOwZ1dHONL1pJDRQCFGRNDaMdoulQ7YTpTVzwV0A43uu6grDAfS3wiJov7/vJ2/knJhItovng9OuW3RjWNPX8bQ8abM4lLaaoCK266Cd57zz2SsF8/FRrfpQZtsh0OOHAAmjRR3aMrs3UrXHaZcl5OTCa49FJ47TVISoKCArj+epg5073v2ZAhMGMGtG+Pjs4itrKQreilym57rEYK8YyjNx1ID9zeP/5Qjnd1pcZ9ZjNMnAj//a8qoCy4ceTIEdLT08WBRQOHHd4bCzsXVm9GabKoqbO/r1UlofyxdQ7MOKP8iYdv5ZRnIHsYvDXU8+ugCufeuS981Xb+/AJmja/YX1xrVWrHukeV2jnzZVUKSvDPfvKYxhLsbuV6KxhIG86gp9uy2lDaqOjofux9epN44Bhmm3vVZofZxOHB3UmftxLTuefDnDnK6VTGbIa0NFWTsVWYSrIcOKAKDR87Vr1pp9msgkFmz1ajn4ULq4fmWyzQrBmsXcu8jFwWsAWAuAL1zViTtfIuQBpXMoRsArgq3L1bjezy8qrvz2SCs85qcLUlAyGUUlI1Os05HA42b97MokWLWLBggdujobFtjmrE6KmTssMGhYdheQCdhnUdfrzb+cTzOvP+BV9d4/11gMKD8Ntr/vcXCLquailWxl5owV5YEbw6d4qEyAfKfDZjR/f69a1gJ7m4h7ZbLBYslqBrboeVQy8/SdK+6s4LVLJz8yUbOPrkv5TDqOq8QJ3Mc3PhP/8Jn1EvvKCqcnjqOG23q0Tnp55SFT085ZXZbHD4MKUvPcciKtqO2y3qAepnpqMzlz8Ds+npp1UagKf9ORzw9dewZElg22pAhHJ8B+3Ali1bRseOHenWrRsjRoxg1KhRrsfo0aNrbEhdZe17vvtc6XZYM83/dg5vhEMb8OmcyorUev74NQCHGQj7VkDOX+42mWIdmGIrTlLWPNgyOzz7q88UU8ZmDvlwX2pabgP73JY5HA4cnpyCgTR+exYmHzY4zCYS3yyvZu8Nux2mBfBDCJRp03wnPFss8Oab3tvJVLKp8njY5FAPJzqwmxzy8JN3puuqYLInh1rZpvfe872dBkgox3fQru/vf/87AwYM4Ntvv6VFixZoDXw4XHjQ8+irMkVHAtjOYf/rOFur+KMk1/86gVDoKbfLw/nX43qCG8X4LsMGarqqMID1jCb+SJ7P1012B5b8Qt8nb4CcHHWiD8c54+hR36/bbJ6n8qpgOZKDCc3LpG4FhZT6bmNjt8Px475tstvhkPxYwknQDmzLli188skndOzop6tgAyGtjXsPLE8EUok9xUPgVFUCcV4Q2P22QPDUtVm3VR+0B9LduaGTRJzfE6WOTgrugQqmCLYOCZTCrHRi/9yF5sV0u8VEadM04o4X+3ZimZnhu//TsiXs2uX9dec9ruPHfdpU1irT7TvRvcidgp9kW+f+jvi4WjWbISvL93YaIKEc40G/c/DgwWzdutX/ig2EPlf5dl6aCfpd7387TTtB66G+E4Lj06DVYP/bGjbF/zqBkNFLJSpXtsmUYMOUUPGBk5pDh1PCs7/6TBwWutPCZ1i2hkYv3K92bDYbNn8jmwiTf90VeG2lDZhtDkpuv8W38zKbVTRguLj+et+RSjYb3H67b5tMJszX34Cl0mnQZFMPJxrQkXSSCSBX6brrfE9Z2mxwVYCdZBsQoRzfATmwdevWuR633nord911F9OnT+e3335ze23dunU1NqSukj0celyMx9+3ZlaNGgON0jv9eTDFeHdip7+oOhf7uufWtCv0vDiw/flD0+CMl5Q9Tptsx2OxHY+lPESLM/+rRqCCf0bRmVjMaF6cwUg6kVzlSj82NtaQEHpftLzubo71aOuxYoeuaew5bxTNbrpbnZw9jbDMZmjTBiZPDp9RN9+sKnZ4chiapkLZ//53uPhi7zZ17ozlxls4hW6uxbZY9QB1iFswM4augdl0550qB83bvcDrrvOYf9bQCeX4DiiM3mQyoWma17L3ztc0TcMeSCXpMFEbwuhBjcB++ZcKnihVUc9oZuh+oTrBJzYNfFt7lqmcq/2/VSxLawenPAXd/6ae718DH5zpnisGqrvxFT+4OxTdoQIxHHZo3E7lZ3li30o4vg9aDICUlu6v7VwAs2+Fg+sgPlsl1ibGpnDqs9AlCu2i6jJHKOA7NrCDins4ScQyks70J7uaczMikTkQinMOcfjWSbSa+T1muzoPlCbEsu+Wy8l6/GXMMXHqHs+jj8Jzz1UU5TWZ4LzzVPWM5s2D3m9e3n6O7d1MYuNMmreokkd2+DDccgt8+mnFva7kZOUoH35YORKbDf71L/QXXkArUhGeuqahXXyxystqqn6ca9nDL2yiNF8Fa5SkaLSmMWfSg0xSAzd4/36VC/fllxV5Z6mpyrn9858R7SZdV4l4IvPOnTsD3mCbNm2CMiAUaosDc1JaCHuXg71MVeFIDv73yrFtMPd++P0ToPyeV5uRMObfkHWi+7r7Vqo+WzGJcMIk9wRmXYdf/wtLnob88o4ZCU1g4C0w4oEKR7bgMVVlo6yw4r2NO8KFH7tX9tB1FSV5bFcpSemQNTBW0llC4BiFHKWQOCy0Jg2Tl8kQIxOZfWK1wmOPof/3JbRcFdShZ2Wh3Xcf3Hij+yinuFhV0LBaoXdvdb8qSPbuXMvx+++k00fzXQ02dw/rwfFH76f7qMvcVz5wANasUZU4hgyBxETXS7rDzrErL6TxzC8x2dUPSgfyhvYh6ZsfiGlSkaTsQGdn6WFKKCM9NpVmhJB7t3cvrF+vKnEMGSIJzD4wNJF5wYIFnHjiidVi9202G0uWLGHEiBFBGRAKtc2BhcrRzfDmECg97n5fTTOr88Ol30DH0/xvR9fhu5th5SvVX9NM0G4MXPYtzLkdVrzseRuaGa5bWb08VW0ZETQUaoXeZWVwxhnwyy+e87xuuUX15woTe3esJm3QaOJzjrvlnjlMyklu+Owlep97c0DbyhvYi9SVG1zVQ5zoQFlqEqZdu7GkVLSAqhV6NzBCGYEFPZ4dPXo0x44dq7Y8Ly+vQeaBhZPZt4E1v3pQiG5XU4BfXqX++mP3Es/OC9SU4l8/wor/eXdezn1+fGH15VLs1Fhqhd7vvKMSg73l6/z3v7B8edh2V3TXbcQfO14tcdrk0NF06Hj1FEqsBX63k/Phm6Su3ABUv0WtATF5heRd715pv1bo3cAIRe+gHZjzXldVjh49SlJSkod3CIGQtxu2/eAjp0xX97y2fu9/W6te9x1YoZlgweP+t5OzFfLd82qxWq1YrVb/bxbCQq3Q+5VXfN+7sVhU7cEwcOTQX3T4YjFmu2dnqek6iceOs+mrN/xuy/L4E36yuyD1izluz2uF3g2MUPQOOH5s/PjxgArYmDRpklsTMrvdzrp16zjxxBO9vV3ww7Gt+KzCAcrxHNvif1uH//Ad2q87oCQnMLsOrnEP6oj6vZgGRq3Qe/Nm76MvUIESmzaFZVdHtq+nmcP3D8FuMePYstnvtmL3HvRZS14DzFb3bsC1Qu8GRiiaB+zAUlNVJI6u6zRq1IiESjclY2NjGTJkCNddd12NDWnoxAcQ6KQ7IC6AKeL4xv6rdpgsfosUAJCc6f7cmbMhnWuNoVbonZKiqrp7w2RSxXrDQHyq/8ZxmsOBntLI73r2hHj03ALfDVGqzCbVCr0bGKHkgQXswKaV1zFr27Ytd999t0wXhpnMPpDWFnJ3eF/HFBNY2HrPS+CvH7y/rpmh6/mwcabv7cQmQ4t+VWyQMGBDqRV6T5igCvF6u+JxOOCSS8Kyq+wuQzjcLYumf+7B5CO+rNX4q/1uq+jCc0h88W2vr+vA8RO6UPmasFbo3cAwtBLHQw89JM4rAmgmGP2YrxVg8OTAOhv3vASadPR8H0wzq1Hcqc9Aqp+Mh2GR6dou1DVuvVXlV3lKGrZYoHNnuNBDxE8NMGlm9j12Fybdc9ljXdP4/YZzaN7Sf3Jx48efwxYb43k7zv+88EII1grRJqARWN++fQMu2rtq1aqQDGrI9J6g7k39cDfYS5UD0u0qLH7QLTD2icC2E5MAE3+BD8+BA6vLHZkGjjJVc/GSL1V9xr+vgdf6eh71DboVhnsoSWVkorpQS/TOyoKff1YJybt3Q0yMOihtNlVZ4osvqjebDIETxk9m9ZvH6HnrE1hKSnFYzGgOHc3hYON1Z9H5hQ8D2o45OYWiFYuJOWkkMQXFLqelAbrJRO7bL9FkxKlu76kVejcwQtE8IAd23nnnuf5fUlLCyy+/TPfu3Rk6dCigWqxs3LiRm266ycsW6i66Dlu+g19fhL2/lk/jjYPBt0PzXhXrHVgLy5+Hzd+oUPdWg2HwbdDpDG9b9sygW6D35aq7c+4ONeLqcTGkBlkDNKU1DLkDfrq3omJHXCr0vwEyT1DP49PgqoXw/Z2w+Svl4OIbw/AHYVClr7K0EFa9Cb+9DkW5sSQ0gxMuhgF/V8nR0cCKjVXsYhW7KMBKEnH0JYv+ZBNPcK2gV7CDRWzlOCoaqhFxDKcTA6gYoh6jkF/Zwe/spww7GTRiEG3pTguvpaE84bCVsueDl4n/3xukbNpJWXICRy8dR5Nb7yMlu3PFivPmwfPPE7tqlbrHdOKJcMcdMHCga5WcTavIf/Epmn36A+aSUnL6dsF+y420Gn81mq+imjWhXz/Yvh2++04lKVssqlnkiSe630f6739VxYm88gr2FotyfDNnukZwhVhZwU7WsYdiykglgQG0oQ+tsaDW6XX5vew6bqPZs6+TeCiX0kbx7Lt8HO3++SSxMeX333Vd2fPii/Drr8qxjhunaiD2Uj/OxN4D0fOOc+zt/2J6fwaU2bCPHEbjfz1Bk/iKhGcnPgMKiovh7bdVxOXOnapL9KRJqvJGenqFTV9+qfLiVq1SydXnn6+qg3Tr5n3bkUTXVbWSl15STUXj4+Fvf1M2depUsd7y5fD88/DDD+o9I0cqLUeOjKh5ES8lVZlrr72WFi1a8Oijj7otf+ihh9i9ezdvv+19zrkqr7zyCq+88go7duwAoEePHvzrX//ijDMCO+tHOpHZ2dBx2XNq6s0Z4u6cmvvbLOg2HjZ+DJ9eqn7Hzug/5/on/gNOeTLspvnl6+thlZdI4zajYNIvsH81vHsyWI9XfDZn8EeHU+HSr5Xzmj6yvFcZEJ+lEj2te1JIaQ1XLQreuYZKIVams5RjFLpND2lAGolcxdDAiq8Cs1jJJg56fK0bmVxIf3ZylBn8Wt6MUnftSwd60ILz6euzSK8Te5mVA+ePodW3i3GYNEzl0XYOs4myxDjy5n5DxsCTYepUuP9+sFjIL69ikbJvn7oH9cYbcM017PvhIzLOuRzN7nBVqnCYTZjsDnZefS7Zb34Wfifmj4svho8+8vxakyZw6BBHzSVMZwlFlFab2mtFGlcwGK2omGOnnkTGkvXoaK57YQ6ziZImjbAumEvjLv3grrtU2SqzueL+nLPAwqxZUB45HQxeE5mPH4eTT4bfymu8OU+bJpMqkbVoEbRrp6qSvPZadZs0TY1UzzwzaJtCwuFQNSrffbe6TRYLfPMNjBmjbL7xRrWOM6jCWYrrqafgnnsiZmLES0lVJjU1lZUrV9KpsudGtVkZMGAAec4rrwD4+uuvMZvNdOrUCV3Xeeedd3j66adZvXo1PXr08Pv+SDuwPz6Hj7z9BjTlyK5ZCm8NLXdcXpS85Cs1ajOK7T/Du2N8rzPmCVj5MuTv9Zx7pplgxIMqvH/DzIp1zCmqtJE9PxbNospbXTU/zB/AD7NY6bU5pIZGB5pxGYP8bmctu/kS3wWoz6E3P/A7VmxesxxOpweDaOt3fzv+fRfZDz7nclyVcZhNFGWkkTDjI8wnj3UtLy0/rmMr1Ra0LluENvpkLMVWj9sC2PX2M2RfdZfH1yLC4sUwbJjPVfTTT+f12VM4TIHHtjIa0J82dL/jKbJfnOGxiabdbCKvcxaNH3sW7YK/ed6RpqmT786d0KJFUB/Da+mu669Xoy9P010WC5xwghohX365d5vi42HPHuXMjeL11+GGGzy/ZjJBUhL89JMqd+XLFSxZAuUzbuEmlFJSQV+iJSQksHjx4mrLFy9eHHRG9bhx4zjzzDPp1KkTnTt35vHHHyc5OZlly5YFa1ZEWP68j8rvujqp/3h3ebi6l+9eM6vtGMmP9/pfZ9ETkLfLe+K07oDlL7o7L4CYtBJi0krUOjbYtQAOBdAlOlzkUcwmDnrtbKyjs5XD5FDkd1vz8Z9UN5c/KfHhvACWs91np2VQU4fpL07z6nBMdgfJ+49hvf8fbtXMS9LSKKkcom4yYb3ndmKKvDsvh0kj6TkfZVYiwdX+owL54QcOctxrTzQd2FC4mZZvfOy1A7TZ7qDJHzspfeRf3luX6LpyNG+9FaDxFZSUlFBSUuK+MDdXjWC83aux2dTI7LHHvCd86zqUlKiuzUby3HPee7A5HCo94p57fLeBsVjCWiqsKtX0DoKgG2Hcfvvt3HjjjaxatYpBg9RV7vLly3n77bd58MEHa2yI3W7n448/prCw0HVvrSpVs+Sdw/3S0lLy8/OJj4/HarUSGxuLzWZzhWc6HA4sFgulpaXExcVRUlJCfHy8629paSlmsxld19F1HbPZTFlZGfs3xhHXqoSy3Hhi0tRfS0op9kILplgH6HB0t4nYTBu247GudVx/U6zYCmI5uM1GcbHJ9TljY2Or2VBTuy0Wi6slt8lkoqysjNy9ccRn+7bbYTORkG2jNNeD3alWbMdjccTZsDQxgQNMsXbshTGYk8soy40jPjvf9Z6dy+JIbFOGufxHUBO7bTabR12qrrvLdJg4m44tFmJKoCy+0l+raoVhssFO00HiycRutxMTE4PVanXbbklJCYVxxcSV6TjKf7uaAxwWsJRCWZzabkm8lcQSDWu8jqVUva6Vn1sdJjDbID+2kCMlx0iNb+T2fcbExLjsLty7jQRzAqUpdkrS0ojPzXX9taamEpufj7VRMtreQxSnpuKIjcVSWIgtKYnYvDzys7Nd7zH9tYeCVi2xFBWD2YzDZMJitVKanExcfj4laWk02nmEnKOHSGqUFpTeTrvtdjuaprk6TPg9ZgsKoFkzHDExWIqKKE1NJa7SZyxJSyMuN5f4fDv2GJNXvZv8uYeSphlgzqW0USMsRUU4YtQ9TVNZGbbERCyFBViPF6ElJVVomJJCbEEBtrg45fzsduwbNxJbWhrUb82pi/N8UlJSQvyaNZQ2bYq5pATdbEY3mTBbrZRV0js+N5eSoiLik5MpTUnBUliIIzYWdB2TzYYtIYHY48cp+eMP4ivZ5MmWsJ0j7HZK8/OxNG6Mw2wGkwlTVbvz8yk5doz4xETfdm/bFpDd3n5rcXFxlJV5PkeEEkYftAO77777aN++PS+88ALvv/8+AN26dWPatGlcdNFFQRuwfv16hg4dSklJCcnJyXz++ed0797d47pTp07lkUceCXofNcVX3y21gu8GlK7VjO6XFcEq8ZZGZaBr2AsrPpSR/cACDZjwVt09+P0Fht97YOYARapyteycQrQUVrQL0E2a95JjbpvydwCHkXC1JgjkZKYHsD/nNGKQOKcQ3YqV+xqdVN2nv9cD3VY4CERLTQvsu4ug3U7Na0LQ98DCTWlpKbt27SIvL49PPvmEN998k/nz53t0Yp5GYDW9+RcIM8+Dzd+qqTKPaND1PPjzC7xOIZos0OU8uOjjsJvnlXdPge0/+V4nuSUU7PO9TkoWFB0BW3HFMkuK0t+WX16pQIPbd0Bqds3tDYYiSvkPP3mdhgLlTG5nTLXmkFV5nQUc4LjPddJIIJdir69rQCYpXMdwn9vRdQd5XbJJ3boXzccvrvDMsST9MM91I91aflzHVboHlnfOKdVq+FXGYTZx6MReZC5Y49OmsDJoEKxY4XMVPSaGR0s/97lOQpnOzS0nkHgk3+d61lHDiFu0zHvHZU1TOV633upzO9W2W35+cavEUVwMmZkVPc68MXSoiob0FRb+5ptwzTVB2RQSJ56oogt9lQI791wVzOHNbotFNeN8OTLT0ocPHyYjI8OYe2DhJjY2lo4dO9K/f3+mTp3KCSecwAtekgvj4uJISUlxe0SSoXd5v0ekmVQY+mnPqcRgbyMxhx2G3hkxEz1y2nP+1znlacjs63v0NOw+GHCj+2czJ9kwJ6mThmZWTTaNcl4AicTSlyyv4x0N6EUrv84LYCz+w5rPpjepJHgd+enAiXTwux1NM5H3j1u9Oi+7xcTRHm1JfOJZt5vptqQkbM7CAZoGcXEkPftfClo08dghGdT9NPs/DAzgAPjQf26WNmkS7WnmcxQ9KKYzh+68Dt3LKnaLif2j+hL3f//2fsJ1lra68krPr/vAZrNVL22UkAC33eZ9pGI2q+jChx/2bpPZrELtL700aJtC4h//8O68zGbVQfrZZ1UKgqfP51wW5IVAMIRSSiogB9akSROOHDkCQOPGjWnSpInXR6g4HI5aUw26zXA46xXA5D6dqJkgthFc/j2ktYEJs1XZpcones2sno97A7IiE7zjleY9fTuxATdC78vg0q9U+SqosN3p0AbdotYbOxU6nVXxmqPUhG5XK7caBOe8GZnP4ItT6U47VEkS50/OeVJsQ1POwH8EK0B70hlGR6+vj6Aj7WnGBAaRjHtUmnPKcCSd6EFgDRuzr7mHHXdOBNSJGMChaehAQesMLN/ORuvVGz74QJ1QzGZMpaWYSkvVSTkhAb76Ckv7jlh/+I7iJo3QNc11srdb1EG646l7aXX2FQHZFDY6dFDdmL3Rpw+8/jrj6UtGeaNI53fn1LInLRlOR7L/8QS7r1Rhu87P5OwFltu1DSmzvoThwyuq5Fee3jKZoFEj+P571Qk5SEwmk+d7Mg89VFFtxDm96FyvTx947z2VF+cMmqg8BalpyqH+8INbs01DOO88+Pe/1f+dNjmnDZs1gzlz1HfnTEav/NnNZvWemTMjmsMWyj2wgKYQ33nnHS655BLi4uKYPn26z6ocEydODHjnU6ZM4YwzziA7O5vjx4/zwQcf8OSTTzJnzhxOOeUUv+83qqHl0c2w8lXYsxTMcdD5bOhzFSQ2rVgnb7eqoLHjFzVqS+8OpzwDrQdHzCy/HNoIc+5QCdi6HZp1VzlpbUdVrFNWDBtnqWjDklxI7wb9rnd3uroDtv0Iq9+G48eKScqA3hck0OUcY+9/VcaBzlYOsZY95FFMCvGcQBadyAgoJ6sy2znCN6xzTRWmkcg4etGWirpdRZQylz/ZzEHs6DQmgdF0piPBt90+9Otcil/7LwkbN2NLbUTZReNpeemNxCRWFKgt2bmVo6/9B1ZvRDdpaEP6k37dHcRmtnatU5h3iG3v/oe0L+ZgLioht393Um6YTFaviqayOjo7OcYG9lJIKakk0IfWZFLl5L55s5re2rJFnfgvvhhOO83thFZEKWvYzR5yMZWnK/SkFTFUciBr1sAVV8Aff6iRZJMmKjqvUii3DTsL2Mo69lCKjSTiOJH29CHLdSGi6w4OLPiGsjdeJX7LDsqaNcY+4VJaXnA1lrhKTmDzZnj1VVi6VHU/PvtslffUtNKPMwiKi9UxkOCpg7Kuq4okb70F27ZBRob6rOefry44nPz+u7JpxQp10XHOOTBxIjSuaJxJYaG6UPnpJzVqGzpUJUXX0G6/rFunbFq9WoXOn3++sr3yeXP/fpVn+OOPFYnMN9wA2ZGdYjl48CCZmZnG5IGFk2uuuYa5c+eyf/9+UlNT6d27N/fee29AzgtqT0fmQxvgvVOg4EB5IrCuLnBMFrjgQ5XsXF8oLA8mqC/1MHdwlJmsoBS7y+3pQBwWLmUg2TQhn2LeYzlHKURDQ0d3rXs6PRgYQA5YMGzjMB/xG2XYiS1U+7ImacQTwwQG0Yo0cijiPZaRS7ErqVrZpHE2PelLNmXY+Zjf2MphTGg40F1/+5HFWfRSU5oPPwz/938ViavOv4MGwezZ0KQJmzjIp6zCXn730bnPRGK5nEHVHaIXrNiYxUp2cLSaTYNpy6l0D6qySbgx5PhetUpdHBw5oi4QnCeMuDj4+GM466zI7bsWsn//flq2bGmMA7vyyisZPXo0I0aMoEMH/3P/kaQ2ODDrcXipIxQd9XC/TAOTGa5boarN1wc83uSuo+RRzMvMx4a9WkiIBlgwcxMj+YBfOUqh18CRSxlIJzLCYtNRCnmVBdhR9y0sVrVPW5w6rcdi4UZG8A7LyKPYq01XMJi17GE9e72Gu4yiMyOmLfKew2U2w6hRHPrpc15noZfkY414LNzK6IBKeH3Mb/zJAa82nUI3htLe73YiRcSP72PHVPmmvLzq98ucU49r10av7FQUMDSIIzY2lqlTp9KpUyeysrK4/PLLefPNN9myJYBOi/WQ9TOg8LCXYI/yX+nS/xhqUkQpLS0NKey1NrGSnR6dF6ivzoadn/jDa+UIUI5uMVvDZtMKdrjty1KqHk6bSrHxE3+SQ5FPmxawxafzAliqb0N/3Edrbrsd5s7lj9XfeV1FR6eYMtayx8eeFMco5A8fzgtgCdtczjsaRPz4nj5dJUZ7CvbQdfWIYNJwbSQUvYN2YG+++SabN29m9+7dPPXUUyQnJ/Pss8/StWtXWrdu7X8D9YzN3/h+3WGDTV8aY4sRxMXF1YvRF8AmPydTHfiLIz7vqenALnKwUvNIqsqo0UmFVWVx6hGsTTs55q/BN4nbdqNt2+Z7JbMZ87ezfaYtAGz2Uk+yMts47HedQko5gJ9w9QgS8eP7q6/8d7f+7LPI7b8WEoreNb4F37hxY5o2bUrjxo1JS0vDYrGQ7qzI3ICwleA1B8yJvX4MWICKsi/1ofW6LYArfUeAo4FwjRqqbiemvMqOvZLcDhx+S1cFgsVa5n8lkwmT1f8BHIiWNhyue2e+iOYILOLHdyBlk+rJDEeghFJKKugR2P3338+JJ55I06ZNue+++ygpKeG+++7jwIEDrF69usaG1FVa9PddsUMzQ2Y/76/XNeLj44OueVlbaUmaz5GMCY2mJPsdfaQQT0KQLVy825TqFsRQFq8elW1qgv8Ag5QA8uBy2zVH9xesUFaGtV9vn2EVGhotSfO7v0xS/DovExrp5WH20SDix/fAgb4rhJjNMGBA5PZfCwlF76Ad2BNPPMG2bdt46KGHmDlzJs899xznnnsujSuHiDYgBtyAz0tK3Q6DI5cDaDgei53WUQbS1qdzcqAzms7uYeJV0Mq3E67IuYG0dRtdxZRUjMKcNo2lm99UgaF0oDmNvNqlodExsS3addd5LxNkMkFmJpnjJviZatXpj/9Q67Y0pQmJPm3qRUsSiN7oPuLH99//7rtSh90e0aTh2oihI7DVq1fzwAMP8Ouvv3LSSSfRqlUrLrvsMl5//XU2b95cY0PqKo3bw5nlFVaqJjsDnDBJNaSsL9SnEVgbmrgSmSufUp3/H0EnOpDB+PJ+X56cRluaMYR2YbOpA+kMLg/L16gYgTn3PIautKUp59EHDc81GDuTwUDaMJ6+xGGp5jA0IJV4zqCnCp8/4YTqdfMsFhXW/ckndLW0ph9ZrvdWbEc9O53uNAtg1KSh8Tf6EYvZo01NSOQUPNdBNYqIH989esB/yqO6qiZgg2qOefbZkdt/LSQUvUPOA1u7di3PPfccM2bMwOFwGNqSuzaE0TvZMQ+WPANbv1eJv5l9YMjt0PuK8NU5rQ0UFBQAkJwcvWmecPMnB9i85ntiFywFTcM68iS69j6VLpWSlPeTx1z+5C9URZoEYhhORwbSFnPl68CCAtWR9+BBaNVKdQgOsvqCjs4fHGAZf3G4IEfVW0xuxlDau4Xr7yGHufzJTo4BkEgMI8o7STuLGedRzIr8dZR8+Qmxh3OwZrUgZdyFDIrvWjHSKSxUdQOfe07lJsXEqKoTDz4IXbu6bNrg2EPO2/8l/buFOMxmDlz9N9qdMYH2lRK+AXIoYiuHsKPTghSyaeLmsHIoYil/lScy20kmjv5kM5h2QXfT1tHZTQ77yMOMRgfSA5pi9YZhx/cPP6gSTj/9pCIPBwxQ/cQuucT9hHHoEHz9tQq779wZTj+9RkWKA2bDBvjlF2XTsGGqE3eE2bdvH61atTImD0zXdVavXs28efOYN28eixYtIj8/n969ezNy5Eieey6AQnxhojY5MCe6DuiBVamviziH+/VlFMbeveqksWgRusnZ5sMBI0aoEjotWlBCGW+ymGMUur1VQ+NMelZMn734IkyZAkVFFd1vU1LUieraa2tkXnFJeWWIePfKEEWU8iaLqhUaNqFxDifQm1bqYHzqKZWoXN4KRLPbVVmjl16qaL44e7aqXnHwYIXdMTGq/t+TT6plP/6oir4WF7umEzVQ9f2WLoUOHSjFxles43f2u17XgaYk8Tf60Zzqv1FnInNNOMxxPmEVhylwCw7pQnPO4wTianBf0vDj2xk6X3UEbLOpOoYvvaT+bzKp6MXMTHjnHVW2KpwcPKjqNP7yS0WpKYdDNbqcNSui1TgOHTpE8+bNjXFgjRs3pqCggBNOOIGRI0cyatQohg8fTlrlpnsGURsdWH2nqEg1ikw0uqZbJDh+HPr2VZ17qxYUtVhUi/jVq3k+aRn5eJ+nv4j+dH35M7j5Zu/7eu897916feBJbwcO/sNcivAerTaBQXR45h3freA/+USVQxo9Wp2sqp4KNE05seuug969vYd/JyaiHz7Ee4nr2clRD0nhGrGYuYHhpBGe4yafEl5jQXmzUfc9akBrGjOJoUHfm6w1x/ctt6jq756+E7MZ5s9XlebDQXEx9O+vynJVnUGzWNRMwpo16sInAhw4cIAWLVoYk8j8/vvvc/ToUVauXMmzzz7LuHHjouK8BCFkpk+Hv/7y3JLDZoOtW9n73ks+nRfAjyWr4YEHfO/r3nt937wPglXs9um8AH4qWKlGXt7QNHWF/8ADFaOAqjiTaq+5xnfuUlEReQ/eww4PzgvUNF8pdpax3afNwbCc7R6dl9of7CaHrQHkndVKdu3y7Lyg4rsKoXlwNT78UNWu9HR82myweze8/Xb49hdGgnZgZ511lox2GjBeq3XXRd55x+8qlnfe97tO+o9LVXUFX+zbB4sXB2hYBZ70XsEOv+9r+u08dW/LG7qunPfChb6dE6geV36I/+Ajn6MdHT2gah2BspY9PnPhNDQ2sDfo7daK43vmTN/NKO12VVT4oP/k8YB4913fN+odjoB+KzUlFL3ryZlIMIqysjLKygJIgK0LHD7s+SrXia4TfyjH72YSjvpuiumivCVRMHjSO5CqH4lHj6OHI3rIbPatkXO1giK/ydVWLyOmmlCC72NQR6fQzyjVE7Xi+D56NLBuyseOhWd/hw75/44PR240G4re4sCEoKhPpaTo0MH3icJspqCD//JoeW0CLOTbtm1g61XCk96N8B9gkNcmAy2Q29v+TpTO6vR+KGvWxG8wRiPiwpYvl+JHAxMajWtwv61WHN9t23rvNO3EYoEWLcKzvw4dvOcCgjpG2oUvVaQqoegtDkwIivqUyMz11/uePrPbibvu7343UzxyKLRp430axmSCnj1VwEiQeNJ7FJ3823TaaGje3LdNgwfD+PG+T17x8arbsB9sk2/2mRSuAf1o43c7gdKfNj5doQOdPuW5a8FQK47vSy4BX6WsLBa44ILwBVVcd53v+7MOh/qtRAhDE5mFhk19SmTmb3+DsWM9j0JMJjjtNJqNv5I2eO80rgHnmfrBa6+p91TdlrNj8Cuv1Cgh0JPeHcigpY/+WyY0zrX0VzZB9f2azeoE+dJLMHWqCvX35sSeew6mTfOdy9amDSm33csALw5KKy9/NTiMfdMG0IZmJHsd0fUli1YBlLeqSq04vhs3VqkXnjCb1ffl7LIcDs4+Wz28/Q5GjIDLLgvf/qoQ8UTmr776KuANnnPOOTU2JlgkjN548vNVpfBQ9Lbj4DDH0YF0krH4KNUUcUpK4P770V97Da08hFpPSkL7+9/h8cchLg4HDj5nDb+z322M0Yg4LmZARR3An3+Gu+9WXW+dDBmiTkY1CHkuw87u/INoaGSnNHdLmHbg4BNW8WeVKvApxHMpAytyrr7/XoXSb9hQsdKwYcoxOWvubd4Mkyer9vLO00H79qqT8qWXqud79sApp8Cff7obOXKk2kd8PDo6S/iLJWyjuPwelQmNnrTkVLqTGOYSUcWU8QO/s569rtFfAjEMoT3D6FCj6cpwHN9hY8YM+Oc/YccO9VzTVCLziy9Cx47h3VdpKfzrX/C//6lkfFDdpK+7Tl3kRDCtYM+ePWRlZUUuDyzQKBFN0xpsJY6GgrN3T02qdTtwsIhtLGe76wQXh4UBtGEknaLiyOw4WMAW1hT8QdqazaBp5PbpQt+krgyno5vTsOFgI3spwUZbmtC8yihox+tPkHnPo8TnF7mWFTdO5vBLU8mecEvANtmwM48trGQn9tJynWLjGExbTqKj270mGzY2sB8rNtrTjHQaVd+grqs294cPQ1aWuufhZvgO5eQ++6xiSrVHD+XAzz1XPS8qUqHbr76q/g8qifmee+Cuu9yu3u042E8edhyk0yjsjqsqxZRyiOOYMdGCVPfKKEESyvEdERwO1eAyP199b5FuWVVUpC7AdF2VGGvk4XgKM0eOHCE9Pd2YRObahDgw46lpqR0dnU9Z7arSUBkNaE8zLmWgqwSSETjQmcVKtnLI492bLjTnIvoHdCW/4/l/0uYO1Ryy8trO7e5++xmyr7rL73bsOPiAX105VXEFagvWZLXVnrTkfPqELRiCnTtVhfScHPfAAU1TJ7Hp09U9mTFjYNkyz/dKrrkG3nijXtRMq4+l0mo7oZSSkntgQlBYLBYsNajFtpXDHp0XqJP8No6w0cvrkWITB9jixXmp1w+yKYBGjQ6Hjax7ngCo5lacz1vcfH9ANm1gH9srJQTbLepR+XVnPcawMGVKdecFFVOJN92k7t8tWeL9Rv9bb6nX6wE1Pb6FmhOK3jV6Z2FhIfPnz2fXrl3V2kHfdtttNTZGqP04/CW9emEVu9DQvOYBacBv7KIXrUKwLjhWsstng0UNjVXsoiuZPrez6+XHaWvzPnWuATHFpez66FWyL/Id1fgbO91sMlWR22lTB8LQPDYnBz7+2HfIdnGx94ACJxaLGoGddFLoNkWZmh7fQs0JRfOgHdjq1as588wzKSoqorCwkCZNmnDkyBESExPJyMgQByZ45CiFPpNYdahWLDfSHKPQb5+rowHYpK1ZE9D+7L+thIv82VQUFpsCYs+ewPKNDh70nehqs6lAEEEwmKCnEO+44w7GjRtHTk4OCQkJLFu2jJ07d9K/f3+eeeaZSNgo1CJqWmonkI7F4epqHCjhsknPCDCRubn/9aruTzepR2XCFhQRSBNau91/BJrJBE2bhsemKFMrSkk1MAwtJbVmzRruuusuTCYTZrMZq9VKVlYWTz31FPffH9g8v1B3sdls2PxdtXugt5+pQQ3oTYQjrKoQyHSlP7sBMu58yG+BJIemkXWT/99HL1q53Ucz2dTDfZ2WfrcTEK1bqzB/XycQXYcJE3wnOzscEc0TMpKaHt9CzQlF76AdWExMjMtjZmRksGvXLgBSU1PZvXt3jQ0R6gaxsbE1CjHuRSsak+ix3JCGRjJxrq6/RtGXLFKI9xjRp6GRSgInBOBUE5u1ZN/Zw32us+eKs7DE+49s6082icS6bLLFqgeonKomJNIznPcJH3tMOSlPEYSapvKAHngAUlM9OzGLRVUZueCC8NkURWp6fAs1JxS9g3Zgffv2ZcWKFQCMHDmSf/3rX8yYMYPbb7+dnj171tgQoW5Q01I7sViYyBAyyxNstfJ/AM1IYiJDKzoEG0Q8MUxiKBnluVOVbcqkERMZEnBTxBZf/sy+UwZR3s/U7bHn/FFkv/N1QNtJIo5JnEiz8q7CsSUaseVytySViQwlJpz5cmPGqL5gzrJEMTEVFUVuuAH++19o2RIWLKjIH7NYKpzZSSfB3Lm+Sx/VIWpFKakGRih6B50HtnLlSo4fP87o0aM5dOgQV155JUuWLKFTp068/fbbnHDCCTU2JlgkD8x4Qk301NHZRx7by0PBs2hCNo3Dl9dUCQcO1rCHFezkCAXEYKI7LRhMO7eEXx2dPeSwE1Xduw1NaU2am02HOc4ytvM7+7HhIJ1kBtKWE2jtGlUWUcqv2+bS9JFnSNp7hOPZzcl99D4Gtx5OfJD393R0dnGMnaWH0dBoH9u8emmkdevgP/+Bzz8HqxV69YJbb1WNM4O9r1BSAl98AVu3qtHW+PGqkaGbUbqqNrJ8uXJip5xSo/qOtZlal8hsJL/8oo6nn39W3/WwYXDHHXDGGRHdrSQyiwMzjFpVascHdhx8xEq2VGlqaCofZV3GQNrRLKBtbeMwM1mJju4qWeQMde9Ccy6kH/mUMJ2lHKfE7X6YBqSRyFUMJTmAKvJV8ar3118rJwMVkYTOtvOXXALvv+/7vpXgkbpyfIed559XzspiqTiezGYVxPPww/DQQxHbdcRLSXni0KFDbNq0CYCuXbuSnh6GvJQgEQdmPHXlCnUJ2/iJPz2+pqGmNO9krN/puFJs/IefKMV7ntepdGMTB9lNjseK7CY0OpLBJQwI6jOAF71zctToqKTEe3j7q6+qKUAhKOrK8R1W1q6FPn18rzN/virqGwFCGYEFfQ/s+PHjXHHFFbRq1YqRI0cycuRIWrZsyeWXX05eXl6wmxPqGFarFavVGm0zfKKj86uPrsU6qrniBvb53dZ69vl0XgBL+IudHPPaTsSBzmYOkkex3/1VxaPe06f7dl6aBi+8EPS+hLpxfIedl1/23fPNYlH3QiNEKHoH7cCuvfZali9fzjfffENubi65ubl88803rFy5khvkiq/eUxeitIooJR/fN4ZNaOwj1++29pHrt1FjAYH9AA8Q/AWeR71XrPAf+v7HH8rJCUFRF47vsLN4se+EdpstoqXCQtE76Eoc33zzDXPmzGHYsGGuZaeddhpvvPEGp59+eo0NEeoGzpyNqHet9UGgBYEDqVpuDmNwSU0KFXvUOyaAgBBNC6iTsuBOXTi+w04gnzWCTt3QPLCmTZuSmlq9mV5qaiqNA8nsF+o0daFSQQIxtCDFb8feQOoJdiDDb6fhTFL8jtIsmMgi+N+HR71PP913B12zGU4+WRxYDagLx3fYOfts3wE/FguMGxex3RtaieOf//wnd955JwcOHHAtO3DgAPfccw8PPvhgjQ0RhHByEh29uh0TGk1JomMADqwTGTTxkoAN6n7aCDrRu0oFjcpoqA7CwYbSe+WCCyA72/tJx26Hf/wjPPsS6j833KBGYZ4ciaap5bcE3s/OSIK+RHvllVfYunUr2dnZZGdnA7Br1y7i4uI4fPgwrznbmAOrVq0Kn6VCrcDIhqWh0J0WnEwXfmaTqwq+M/Q9lQQmMCig3DMTGhMYzLsscwvCcG5zDF3pSiYdSOc4JWzjiOs1ExoOdLqQyRi61uhzeNQ7NhZ++EElIe/dWxE+bzar+18vvACnnlqj/TV06srxHVZatoRvv1WjrKKiiqamJpM61j75BDp1itjuQ9E8aAd23nnn1XhnQi2krEwlwn78sQrP7toVrr8eevf2uHqMj/svxyjkN3ZxkHwsmOlKc3rQMryVI4JgGB1pTgq/sIlcijGj0ZVMxtCF+EpVPwqxsoY97OAoGiqRuS9ZrqK5jUnk5pLB7PvoDUyff4GpsIjSXt1JuWEyTTqr6hQxmLmMQfzFEdaxl+OUuEpRtaFJjRO1verdpYuqAD9zpkpALi5WScU33FC943IAHFm7mMLXXyJ20zZsjVPh4otpee6VmGOieC9o5Up4802VXN20KVx6qZruiuDUqK/ju14zapTqzD1tmqqsouswfDhcey00bx7RXYeiuSQyN2QOHICxY2HjxoqkRWci4333wb//Xa1GnrdEz+VsZw6/V+v5lUI8VzKEJuWlkYxkEVv5mU2ukZBzBNaYRK5gMGkkso3DzGIl9kp3ujTAgpmLGUB7msH27eqe0o4dFaMdi0Xp9eSTcM89EfsMkU6s1XUHO/9xLW2fmYbdYsZss+MwmzDZHRzt1Z74n+aRlGFsjUp0XU1ZOcO7bbaK43PgQPj+e2jSJCK7brCJzFEklETmGt09y83N5c0332TKlCkcO6bK76xatYq9e/fWZHNCNNB1VcmhPBndFRTgjAh64gl4++1qb4uPjyc+3r2ixBYOMYff1War3HkqwMr7LMeOsY0C/2A/P6M+m9M1OS3LpZgPWMExCpnFSmxVwjR0oAw7M1lBnr0ATjtN9c6CiukVm01p+I9/wJdfRuxzeNI7nOx6/QnaPjMNAHN5U06TXX3GtD92cPxvkbt575XnnlPOCyqOR+fxuWpVRCvfR1pvoTqh6B20A1u3bh2dO3fmySef5JlnniE3NxeAzz77jClTptTYEMFgli2DpUu9539oGkydWi1Z1lOx08Vs8zpB5kAnl2I2czAMRgfOIh826egcoYCf+BO7jwhDOw52fPcebNniXSeTSY3CIkQki8vqDjuNp77oVQGzzUHmwrUcWvFzRPbvEZsNnnrK++t2O8yZo2YNIoAU8zWeUPQO2oHdeeedTJo0iS1btrh5zjPPPJMFCxbU2BDBYL7/3ve9BF2HbdvUtFklql6h2rCzi2M++2GZ0NhapSZhJCmhjP3k+bVpB0f8dok2f/+Db50cDnUhcPx4je31RSRHBLnbNpCy86DvdAOziaLvv4rI/j2ycaPqAO0Lk0kdvxFARmDGE4reQd8NXbFihVukoZNWrVq5hdYLtZzSUs89oDytVwnn1ZIze95XjpQTHd3QKcRA9xWI7VqVz++VQNcLkqp6hxNHqf8KIrqmReyzeSSQfUXQpkjqLXjG0BFYXFyc60ZnZTZv3hyVgr5CDRk4UEUg+iItDdq2dVsUFxfnVqUgBjON8d1yXkf1sjKKRGJphO/oOQc6zUj2mYBsQqN0YD/fScMAbdpELKigqt7hJLVDD6wpvr87s82OZeCQiOzfI127gr8rcmcwRwSIpN6CZ0LRO2gHds455/B///d/lJWf/DRNY9euXdx7771cUE+6sjYIxo2DFi28J8OaTHDjjdXKzJSVlbm+e1D5UINp53NXMZjpHUBn43ChoTGIdj4Ti+OwMIauPkdhDnSaX3YDJCd7rz2oaXDbbYGNZmtAVb3DiSU+if03XILDy2dzmE0cb92MlmdFLmiiGo0awdVXez8uzWbo2FFFhUaASOoteCYUvYN2YM8++ywFBQVkZGRQXFzMyJEj6dixI40aNeLxxx+vsSGCwcTEwGefQUKC+z0eTVOPk04CD5VVzGYz5ionlwG0oRuZ6u2VlpvQMKFxAX3DV4UiQIbQzmOlDWWTiQvpTzuaMZouAG55Ws7/j6ErLZNbq0ROi8VdJ+dJf9w45cAihCe9w0mrh5/n8JDu6JqGXunLc5hNlCXGUfzZLExmg0tSTZ2q2ns4j0UnZrNycJ98EnzDzgCJtN5CdULRu8Z5YIsXL2bt2rUUFBTQr18/xo4dW2MjaorkgYWBbdsoff4ZTB/MxFRQSGnHtsTceAvm627wWOSzuFhVo0hISHBb7kBnHXtYwQ4OUYAFE13JZAjtaE50vhsHDn5jF/PZQhGlmNDoQDpj6erWkXkbh1nGdnZyFIC2NGUI7VUOmJONG1V49yefqCrv3bqpXKWJEyOaWOtN73BiKylk7xtPk/Ly2zT6az9ljRI5dNnZpN3xAKntukdsvz4pKlI9zV59VQUSpaXBFVfA5MmqjFaEMEJvwZ2DBw+SmZkpHZmF4LDj4Hs2sopdgBp5ONCJJ4ZzOYEuVM/ALywsBCApyfjE5GBZzDbmemhqmUYC1zLMVWmjNlOX9K4PiN7Gs3//flq2bBnZROalS5fyzTffuC179913adeuHRkZGVx//fUNrxFcHedbNvAbu9BRgRbO+0EllPERK9lRPiKpjMViwVIHqpyvY69H5wUqkflV6kbKR13Ru74gehtPKHoH7MD+7//+j42VkgfXr1/PNddcw9ixY7nvvvv4+uuvmTp1ao0NEYwlhyLWsNvnOvPKK1lUprS01NV2vTbzY3llEG8UYGUDtb9yTF3Ru74gehtPKHoH7MDWrFnDmDFjXM9nzpzJ4MGDeeONN7jzzjt58cUX+eijj2psiGAsG9nnM4FVB3aRQ0GVzsZ1Icy4gBIK8f+jWM6OyBsTInVB7/qE6G08oegd8NgtJyeH5pWqEs+fP58zzjjD9XzgwIHs3u37il6oPZRQVq3wruf1bCRXfl4HEj0LCWwq20rNO8EaRV3Quz4hehuPIYnMzZs3Z/v27YAa8q1atYohQyoSHI8fP95wWxHUQRqT5LcShQmtWkJwXSi10zjAyvep1P5Is7qgd31C9DYeQ4r5nnnmmdx3330sXLiQKVOmkJiYyPDhw12vr1u3jg416EMkRIcetMDi4+vX0OhBS+Kq5G/VhWKnsVhoXilM3htjy3PAajN1Qe/6hOhtPIaMwB599FEsFgsjR47kjTfe4I033nAbZr/99tucKl1g6wzxxHAGPTy+pqGRSAwnezjB15Ur1PH09XmPrxMZNDewvFVNqSt61xdEb+MJRe+g88Dy8vJITk6ulj197NgxkpOTDZ07rot5YLoOh9ZDcQ40bgepkcvJDIg/OcAvbOIwBYCqpNGNTMbSjbQqNQ6PUcjhghwSiCErOaPGXYaN4iB5zOI3cil2LTOh0ZcszqJXFC0LnIIC9b0kJyf7WTN08inmGEXEY6E5KbX++40ERuotKPbt20erVq1qdB4POgA/NdXzVWuTCBUzrU/8/gnMvR+ObalY1v5UOP15SO8WHZu6kkkXmnOUQqzYSCOBpCr3vfaSyw/8zm5yiLGo650mpDCWbnTwUK6pthBPLC1IdXNgicTQglR09DpxgjYiJ+koBczhd7eWN41JZDRd6EnLiO+/NiE5YMZjSB6YEBqrp8HHF8Kxre7Lt8+Ft4bCkeopV4ahodGMZFqRVs157SGH6SxlDzlqXYd6HOQ4H/Cr4Y0qA+U4JbzNYjZVsa+AUr5hPYvY6uWdtQuHw4HDEblWNMco5C0Ws40jbstzKOIzVvMbOyO279pIpPUWqhOK3uLADKC0AGbfWv6kyoStblev/3iP4WYFxGw24vASr6gD37I+oL5aRrOQrRRS6tW2eWwmH7lZP5c/sWL3mk4xh9+xItXZhdqJODAD+P1TKCv0/rpuh83fQEEtG8wc4ni1zsYOk3o4OY6V7VWu3qONHQdr2O3Xsa5lj0EW1RyTyYQpQpXXiynlTw74zAW04WAj+yOy/9pIJPUWPBOK3vJNGUDuDjD5S5HTIb+WnU9zKaq2zGxTD3/rRZNiSrH56cqsoZFXy+z2hM1mw2aLTMJ1PiV+x84mtFr3/UaSSOoteCYUveWOpQEkNlWjrEDWq014qtZu8xBkWtuquscRg0a12dpqJNQyuz0RyajeQD6/jl4ndAoXUoHDeELRXEZgBtD9b6D5UFozQavBkNbWMJMCohVppOCeoxFToh5OYjHTkQyDLfNNDGa6kukzytCBTi9aGWhVzYhkYm0K8WTR2G8sZg9aRGT/tRFJZDYeQxKZhZqTnAlD7vDyYvnZ4+Ra2MxaQ2Ms7vH9ZfHq4WQknYmh9nWwHU4nTF5cmIY6KWcEUK0j2kQ6sdZTsnplBtKWlDpQcitcSCKz8RhSSkoIjbFPwLAp5ffCNNDKz/mJTeHiz6H9GJ9vjxo9ack59CaufLY5tnwEZsHEWLoyhHZRttAzmaRwBYNpVD6CdDoyDehDFudyQtRsC4aSkmJKSor9rxgAnoI12tCUSxhIUvk0oVMnExpDacepRKkjc5SQEZjxhKK3dGQ2mKKjsOlLKMmFxh2g05lgrgM1kMuws5mD5JYWkEgs3WNbu5xabcaBzl8c4TDHicVMZ5q7nFptRdcd7PnkTWKfe5HU33eDppEzoBP6XXfR8vRLgtpWHsUs4y/WsAcrNpKIpR/ZDKGd270tOw62cphjFBKPhc40r5YT2BBw9qaSe2HGceTIEdLT02t0HhcHJgSFlNqJLLruYOddV9P2uXdwmEwUtVSVMBL378Nkd7DjqXtpe88TAW3rMMeZzlJKsLmNvjQgjUSu4kSSG6CT8oUc38YTSikpmUIUgkJarkeW/T98TNvn3gHA5HBgKSjAUlCAya7SAtr+40mOrF3sdzs6Op+xuprzUq+pkdn3bAi7/XUdOb6NR0pJCYYhpXYii/7SS9gtFT9LR1wcjkoda+0WM4UvP+93O3vJ5SDHvSYpO9D5gwMcl2okbsjxbTxSSkoQ6glpK3/HbKv0g3Y41KMcs81O0vLVfrdzgHy/6+ioaiuCUFeRsbIQFFJmJ7I4Yt1/kia7ewa8Djji/d+3Mgd4bRroeg0FOb6NR0pJCYYhpXYiy9HzT3WbQrTFx2OrlCejmzSKzjvT73Y6kO43QTkOC61Jq6Gl9RM5vo0nFL3FgQlBERsbKyHGEST1lnvQzWYcmnI/sQUFxJZHxjlMJkobJZJ+zWS/20khnl608unEhtIeSy1MQo8mcnwbj5SSEgxDEj0jS+NOJ3Doy/ewJcSiaxrFjRtT3KQxugbWtCTyf/iSpPTWAW3rLHrRvrzhqKnclTn/9iOL4XSMzIeow8jxbTySyCx5YIYhiZ7GUHzsAAff+S+sWIVuMmEaNpQWl99MbHJaUNvR0dnJMdazl0JKSSWePmTRAs+d1Rs6cnwbTyiJzBLEIQSF82pJfuCRJaFJJm3veIz8fBVNWNMLNA2NtjSlLbWs1UEtRY5v4wllBCYOTAgKKXRqLKK3sYjexhOK5uLAhKCwWq2AXKEahehtLKK38Tg1rwniwISgkB+2sYjexiJ6G49EIQqGIXkyxiJ6G4vobTyh6C0jMCEopFKBsYjexiJ6G49U4hAEQRAaHDICE4LCXqU2nxBZRG9jEb2NJxTNxYEJAVFMKRvYR15MIYnE0IvsWt/ZuD4QE1MH2nXXI0Rv4wlF86hOIU6dOpWBAwfSqFEjMjIyOO+889i0aVM0TRI8sJS/+A8/MZuNrLHuYLF1M88zl5/402u/KSE8WK3WkMKMheAQvY0nFL2j6sDmz5/PzTffzLJly/jxxx8pKyvj1FNPpbCwMJpmCZVYxS5+5A/s5Y7KGq9TGq/aeixhG/PZEl0D6znx8fGSXGsgorfx1NlE5u+//97t+fTp08nIyOC3335jxIgRUbJKcOLAwS9sdlsWU171xV6eurGEbQylHXHI1EskkNJGxiJ6G0+9KSWVl5cHQJMmTTy+XnV476wTV1paSn5+PvHx8VitVmJjY7HZbK7wTIfDgcViobS0lLi4OEpKSoiPj3f9LS0txWw2o+s6uq5jNpspKyvzuq7FYnG1wTaZTNhsNmJjY6ut68kWu90e8LqB2F3VlnDavct2lFJTCTGAyQ72GDCXQVkcxOfrlMWDpcTOprh9tC9ritlsrrHd3mwJh94xMTFYrVa3dUtKSoiLi6OsrCwidlutVmJiYmpst9MW53ucx3fVYzZSdtvtdjRNQ9O0sB+zkbI7HL81f3rLOSL8v7V6EUbvcDi4/fbbOemkk+jZs6fHdaZOnUpqaqrrkZWVZbCVDQsrZdWWWUohpsqUdQkSuRUp5J6MsYjexuPsAFATak07lRtvvJHZs2ezaNEiWrf23O/I0wgsKytL2qlEiKMU8D/muy2zWNXhYouraJV4JUOk2nmEcB7vcXFxUbakYSB6G8/hw4fJyMiou+1UbrnlFr755hsWLFjg1XmBOqjkwDKOpiSTRWP2kOuKNjSXD8pscaABqSTQBs9TvkLolJUpweW4NwbR23icmteEqE4h6rrOLbfcwueff87PP/9Mu3btommO4IEz6UkMJrTyTr4Os3poqF5T53CC6zUh/JjNZtd9AyHyiN7GE4reUR2B3XzzzXzwwQd8+eWXNGrUiAMHDgCQmppKQkJCNE0TymlOCtdwEj+zic0cdC1vSzNOpgutSIuecYIgNGiieg9M0zxfuU+bNo1Jkyb5fX9+fj6pqalyD8wgiijlSGEuCcSQntQ42uY0CJw5kUlJSVG2pGEgehvP/v37admyZd27B1ZL4keEAEkkluaW1Gib0aCwWGrFbeoGg+htPKFoXmvC6IW6QWlpaUhhr0JwiN7GInobTyh6y+WGEBQSnWUsorexiN7GE4rm4sCEoJBSO8YiehuL6G089aaUlFD7kUKnxiJ6G4vobTx1tpivUPeQK1RjEb2NRfQ2HhmBCYYhV6jGInobi+htPKFoLlGIQlBIlJaxiN7GInobj0QhCoYheTLGInobi+htPKFoLt+WEBTOXkGCMYjexiJ6G08omssUoiAIglAnkRGYEBShdE8Vgkf0NhbR23hC0VwcmBAUNpst2iY0KERvYxG9jScUzcWBCUEh+THGInobi+htPKFoLg5MCApJ9DQW0dtYRG/jkURmwTAk0dNYRG9jEb2NR0pJCYYhV6jGInobi+htPDICEwxDrlCNRfQ2FtHbeGQEJhiG1WoF5ArVKERvYxG9jcepeU0QByYERUxMTLRNaFCI3sYiehtPKJqLAxOCQkrtGIvobSyit/FIKSlBEAShwSEjMCEopNSOsYjexiJ6G4+UkhIMQ0rtGIvobSyit/FIKSnBMCQ6y1hEb2MRvY1HSkkJhiGJnsYiehuL6G08ksgsGIYkehqL6G0sorfxSCKzYBhyhWosorexiN7GIyMwwTDkCtVYRG9jEb2NR0ZggmFIqR1jEb2NRfQ2HiklJRiG/LCNRfQ2FtHbeELRXLL2hKCw2WySK2MgorexiN7GI3lggmFIpQJjEb2NRfQ2nlA0l29LEARBqJPICEwICqnWbSyit7GI3sYTiubiwISgsFjkkDES0dtYRG/jCUVzmUIUgqK0tJTS0tJom9FgEL2NRfQ2nlD0lssNISji4uKibUKDQvQ2FtHbeELRXByYEBRSasdYRG9jEb2NR0pJCYYhpXaMRfQ2FtHbeKSUlGAYcoVqLKK3sYjexiMjMMEw5ArVWERvYxG9jScUzSUKUQgKidIyFtHbWERv45EoRMEwzGZztE1oUIjexiJ6G08omssITBAEQaiTyAhMCAoptWMsorexiN7GI6WkBMOQUjvGInobi+htPFJKSjAMucltLKK3sYjexiNBHIJhSKkdYxG9jUX0Nh4pJSUYhiR6GovobSyit/FIIrNgGJLoaSyit7GI3sYjpaQEw5ArVGMRvY1F9DYeGYEJhiFXqMYiehuL6G08UkpKMAyJ0jIW0dtYRG/jkShEwTAkT8ZYRG9jEb2NJxTN5dsSgkIqFRiL6G0sorfxhKK5TCEKgiAIdRIZgQlBYTLJNY+RiN7GInobTyiaiwMTgsJms0XbhAaF6G0sorfxhKK5ODAhKCQ/xlhEb2MRvY0nFM3FgQlBIYmexiJ6G4vobTySyCwYhiR6GovobSyit/FIKSnBMOQK1VhEb2MRvY1HRmCCYcgVqrGI3sYiehuPjMAEw7BarYBcoRqF6G0sorfxODWvCeLAhKCIiYmJtgkNCtHbWERv4wlFc3FgQlDY7fZom9CgEL2NRfQ2nlA0FwcmBIWmadE2oUEhehuL6G08oWguDkwICvmBG4vobSyit/GIAxMMQ6ZYjEX0NhbR23hkClEwDInOMhbR21hEb+ORUlKCYUiip7GI3sYiehuPJDILhiGJnsYiehuL6G08ksgsGIZcoRqL6G0sorfxyAhMMAy5QjUW0dtYRG/jkRGYYBhSasdYRG9jEb2NR0pJCYYhP2xjEb2NRfQ2nlA0N4XRDqEBYLPZpO26gYjexiJ6G08oessITAgKk0mueYxE9DYW0dt4QtFcvi1BEAShTiIjMCEoHA5HtE1oUIjexiJ6G08omosDE4LCYpFDxkhEb2MRvY0nFM2jOoW4YMECxo0bR8uWLdE0jS+++CKa5ggBUFpaSmlpabTNaDCI3sYiehtPKHpH1YEVFhZywgkn8L///S+aZghBEBcXR1xcXLTNaDCI3sYiehtPKHpHdbx8xhlncMYZZ0TTBCFIpNSOsYjexiJ6G4+UkhIMQ0rtGIvobSyit/E0mFJSVqvVrexIXl4eAEePHiU/P5/4+HisViuxsbHYbDZXfoHD4cBisVBaWkpcXBwlJSXEx8e7/paWlmI2m9F1HV3XMZvNlJWVeV3XYrG4ImdMJhM2m43Y2Nhq63qyxW63B7xuIHZXtSWSdsfExJCTk0NsbCwWi8X1nri4OMrKyjCbzTW225st4bLbarW6rRtpu61WKzExMTW222mLJ70rH7ORsttut6NpGpqmhf2YjZTd4fit+dNbzhHh/60dO3YMAF3XfTsAD9QpBzZ16lQeeeSRasvbt28fBWsEQRCEcHH06FFSU1ODeo+m18TtRQBN0/j8888577zzvK5TdQSWm5tLmzZt2LVrV9AfXKgZ+fn5ZGVlsXv3blJSUqJtTr1H9DYW0dt48vLyyM7OJicnh7S0tKDeW6dGYN4ihFJTU+VgM5iUlBTR3EBEb2MRvY2nJiWlourACgoK2Lp1q+v59u3bWbNmDU2aNCE7OzuKlgmCIAi1nag6sJUrVzJ69GjX8zvvvBOAiRMnMn369ChZJQiCINQFourARo0aVaPIEydxcXE89NBDknhoIKK5sYjexiJ6G08omteaIA5BEARBCAZppyIIgiDUScSBCYIgCHUScWCCIAhCnUQcmCAIglAnqfMO7IknnkDTNG6//fZom1Jvefjhh1118ZyPrl27Rtuses/evXu5/PLLadq0KQkJCfTq1YuVK1dG26x6Sdu2basd45qmcfPNN0fbtHqJ3W7nwQcfpF27diQkJNChQwceffTRoKPS61QljqqsWLGC1157jd69e0fblHpPjx49+Omnn1zPpXNtZMnJyeGkk05i9OjRzJ49m/T0dLZs2ULjxo2jbVq9ZMWKFdjtdtfzDRs2cMopp3DhhRdG0ar6y5NPPskrr7zCO++8Q48ePVi5ciVXXXUVqamp3HbbbQFvp86ehQoKCpgwYQJvvPEGjz32WLTNqfdYLBYyMzOjbUaD4cknnyQrK4tp06a5lrVr1y6KFtVv0tPT3Z4/8cQTdOjQgZEjR0bJovrNkiVLOPfccznrrLMANQL+8MMP+fXXX4PaTp2dQrz55ps566yzGDt2bLRNaRBs2bKFli1b0r59eyZMmMCuXbuibVK95quvvmLAgAFceOGFZGRk0LdvX954441om9UgKC0t5f333+fqq69G07Rom1MvOfHEE5k7dy6bN28GYO3atSxatCjoBsd1cgQ2c+ZMVq1axYoVK6JtSoNg8ODBTJ8+nS5durB//34eeeQRhg8fzoYNG2jUqFG0zauX/PXXX7zyyivceeed3H///axYsYLbbruN2NhYJk6cGG3z6jVffPEFubm5TJo0Kdqm1Fvuu+8+8vPz6dq1K2azGbvdzuOPP86ECROC25Bex9i1a5eekZGhr1271rVs5MiR+uTJk6NnVAMjJydHT0lJ0d98881om1JviYmJ0YcOHeq27NZbb9WHDBkSJYsaDqeeeqp+9tlnR9uMes2HH36ot27dWv/www/1devW6e+++67epEkTffr06UFtp86NwH777TcOHTpEv379XMvsdjsLFizgv//9L1ar1dX1U4gMaWlpdO7c2a2TgBBeWrRoQffu3d2WdevWjU8//TRKFjUMdu7cyU8//cRnn30WbVPqNffccw/33Xcfl1xyCQC9evVi586dTJ06NagZhjrnwMaMGcP69evdll111VV07dqVe++9V5yXARQUFLBt2zauuOKKaJtSbznppJPYtGmT27LNmzfTpk2bKFnUMJg2bRoZGRmu4AIhMhQVFVXr/2U2m3E4HEFtp845sEaNGtGzZ0+3ZUlJSTRt2rTaciE83H333YwbN442bdqwb98+HnroIcxmM5deemm0Tau33HHHHZx44on8+9//5qKLLuLXX3/l9ddf5/XXX4+2afUWh8PBtGnTmDhxoqSJRJhx48bx+OOPk52dTY8ePVi9ejX/+c9/uPrqq4PbUISmOA1F7oFFlosvvlhv0aKFHhsbq7dq1Uq/+OKL9a1bt0bbrHrP119/rffs2VOPi4vTu3btqr/++uvRNqleM2fOHB3QN23aFG1T6j35+fn65MmT9ezsbD0+Pl5v3769/sADD+hWqzWo7Ug7FUEQBKFOUmfzwARBEISGjTgwQRAEoU4iDkwQBEGok4gDEwRBEOok4sAEQRCEOok4MEEQBKFOIg5MEARBqJOIAxOEGqJpGl988YXX10eNGlVrOoXPmzcPTdPIzc0N+r1vvfUWp556aviNqsSrr77KuHHjIroPof4hDkyoUxw+fJgbb7yR7Oxs4uLiyMzM5LTTTmPx4sXRNq3WEE7HWVJSwoMPPshDDz0Ulu154+qrr2bVqlUsXLgwovsR6hdS8EuoU1xwwQWUlpbyzjvv0L59ew4ePMjcuXM5evRotE2rl3zyySekpKRw0kknRXQ/sbGxXHbZZbz44osMHz48ovsS6g8yAhPqDLm5uSxcuJAnn3yS0aNH06ZNGwYNGsSUKVM455xz3Na79tprSU9PJyUlhZNPPpm1a9e6Xn/44Yfp06cPr732GllZWSQmJnLRRReRl5fnWmfFihWccsopNGvWjNTUVEaOHMmqVatCst9qtXL33XfTqlUrkpKSGDx4MPPmzXO9Pn36dNLS0pgzZw7dunUjOTmZ008/nf3797vWsdls3HbbbaSlpdG0aVPuvfdeJk6cyHnnnQfApEmTmD9/Pi+88AKapqFpGjt27HC9/7fffmPAgAEkJiZy4oknVqt4X5WZM2d6nNp7++236dGjB3FxcbRo0YJbbrnF9Zqmabz22mucffbZJCYm0q1bN5YuXcrWrVsZNWoUSUlJnHjiiWzbts1tm+PGjeOrr76iuLg4CFWFhow4MKHOkJycTHJyMl988QVWq9XrehdeeCGHDh1i9uzZ/Pbbb/Tr148xY8Zw7Ngx1zpbt27lo48+4uuvv+b7779n9erV3HTTTa7Xjx8/zsSJE1m0aBHLli2jU6dOnHnmmRw/frzG9t9yyy0sXbqUmTNnsm7dOi688EJOP/10tmzZ4lqnqKiIZ555hvfee48FCxawa9cu7r77btfrTz75JDNmzGDatGksXryY/Px8t/twL7zwAkOHDuW6665j//797N+/n6ysLNfrDzzwAM8++ywrV67EYrH4rf69aNEiBgwY4LbslVde4eabb+b6669n/fr1fPXVV3Ts2NFtnUcffZQrr7ySNWvW0LVrVy677DJuuOEGpkyZwsqVK9F13c3pAQwYMACbzcby5csD1lRo4ESi0rAgRIpPPvlEb9y4sR4fH6+feOKJ+pQpU9y6cy9cuFBPSUnRS0pK3N7XoUMH/bXXXtN1Xdcfeugh3Ww263v27HG9Pnv2bN1kMun79+/3uF+73a43atRI//rrr13LAP3zzz/3amvlLgk7d+7UzWazvnfvXrd1xowZo0+ZMkXXdV2fNm2aDrhV+v/f//6nN2/e3PW8efPm+tNPP+16brPZ9OzsbP3cc8/1uF8nv/zyiw7oP/30k2vZt99+qwN6cXGxR/tzcnJ0QF+wYIHb8pYtW+oPPPCA188N6P/85z9dz5cuXaoD+ltvveVa9uGHH+rx8fHV3tu4ceOgu/IKDRcZgQl1igsuuIB9+/bx1VdfcfrppzNv3jz69evH9OnTAVi7di0FBQU0bdrUNWJLTk5m+/btblNW2dnZtGrVyvV86NChOBwO15TawYMHue666+jUqROpqamkpKRQUFDArl27amT3+vXrsdvtdO7c2c2u+fPnu9mVmJhIhw4dXM9btGjBoUOHAMjLy+PgwYMMGjTI9brZbKZ///4B29G7d2+3bQOu7VfFOZUXHx/vWnbo0CH27dvHmDFjAt5P8+bNAdV1t/KykpIS8vPz3d6XkJBAUVFRIB9FECSIQ6h7xMfHc8opp3DKKafw4IMPcu211/LQQw8xadIkCgoKaNGihdu9JSdpaWkB72PixIkcPXqUF154gTZt2hAXF8fQoUMpLS2tkc0FBQWYzWZ+++23al3Dk5OTXf+PiYlxe03TNPQwdjyqvH1N0wC8dsFt2rQpmqaRk5PjWpaQkFDj/QSy72PHjpGenh7QPgRBRmBCnad79+4UFhYC0K9fPw4cOIDFYqFjx45uj2bNmrnes2vXLvbt2+d6vmzZMkwmE126dAFg8eLF3HbbbZx55pmuYIUjR47U2Ma+fftit9s5dOhQNbsyMzMD2kZqairNmzdnxYoVrmV2u71acElsbCx2u73GtlbeTvfu3fn9999dyxo1akTbtm2ZO3duyNuvyrZt2ygpKaFv375h37ZQPxEHJtQZjh49ysknn8z777/PunXr2L59Ox9//DFPPfUU5557LgBjx45l6NChnHfeefzwww/s2LGDJUuW8MADD7By5UrXtuLj45k4cSJr165l4cKF3HbbbVx00UUuZ9KpUyfee+89/vjjD5YvX86ECRMCHn14onPnzkyYMIErr7ySzz77jO3bt/Prr78ydepUvv3224C3c+uttzJ16lS+/PJLNm3axOTJk8nJyXGNaADatm3L8uXL2bFjB0eOHPE6wgqE0047jUWLFrkte/jhh3n22Wd58cUX2bJlC6tWreKll16q8T6cLFy4kPbt27tNoQqCL2QKUagzJCcnM3jwYJ577jm2bdtGWVkZWVlZXHfdddx///2Ampr67rvveOCBB7jqqqs4fPgwmZmZjBgxwnUvBqBjx46MHz+eM888k2PHjnH22Wfz8ssvu15/6623uP766+nXrx9ZWVn8+9//dosGrAnTpk3jscce46677mLv3r00a9aMIUOGcPbZZwe8jXvvvZcDBw5w5ZVXYjabuf766znttNPcpiXvvvtuJk6cSPfu3SkuLmb79u01tvmaa65hwIAB5OXlkZqaCqjp1ZKSEp577jnuvvtumjVrxt/+9rca78PJhx9+yHXXXRfydoSGg6aHc4JdEOoADz/8MF988QVr1qyJtikh43A46NatGxdddBGPPvpoRPZx4YUX0q9fP6ZMmRKR7QNs3LiRk08+mc2bN7scpSD4Q6YQBaEOsXPnTt544w02b97M+vXrufHGG9m+fTuXXXZZxPb59NNPuwWaRIL9+/fz7rvvivMSgkKmEAWhDmEymZg+fTp33303uq7Ts2dPfvrpJ7p16xaxfbZt25Zbb701YtsHde9SEIJFphAFQRCEOolMIQqCIAh1EnFggiAIQp1EHJggCIJQJxEHJgiCINRJxIEJgiAIdRJxYIIgCEKdRByYIAiCUCcRByYIgiDUScSBCYIgCHWS/wdgw0+jKdDXQAAAAABJRU5ErkJggg=="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "\n",
    "# 创建散点图\n",
    "plt.scatter(sepal_length, sepal_width, c=target, cmap='rainbow')\n",
    "\n",
    "# 添加标题和轴标签\n",
    "plt.title('Iris sepal length vs width')\n",
    "plt.xlabel('Sepal length (cm)')\n",
    "plt.ylabel('Sepal width (cm)')\n",
    "\n",
    "# 设置横纵轴刻度\n",
    "ax.set_xticks(np.arange(4, 8 + 1, step=1))\n",
    "ax.set_yticks(np.arange(1, 5 + 1, step=1))\n",
    "\n",
    "# 设定横纵轴尺度1:1\n",
    "ax.axis('scaled')\n",
    "\n",
    "# 增加刻度网格，颜色为浅灰\n",
    "ax.grid(linestyle='--', linewidth=0.25, color=[0.7, 0.7, 0.7])\n",
    "\n",
    "# 设置横纵轴范围\n",
    "ax.set_xbound(lower=4, upper=8)\n",
    "ax.set_ybound(lower=1, upper=5)\n",
    "\n",
    "# 显示图形\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2024-07-10T13:58:38.014874Z",
     "end_time": "2024-07-10T13:58:38.014874Z"
    }
   }
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
